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Update app.py
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app.py
CHANGED
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@@ -1,7 +1,7 @@
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# -*- coding: utf-8 -*-
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from kokoro import KPipeline
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import soundfile as sf
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-
import torch
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import os
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from moviepy.editor import (
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VideoFileClip, AudioFileClip, ImageClip, concatenate_videoclips,
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@@ -22,7 +22,7 @@ from bs4 import BeautifulSoup
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from urllib.parse import quote
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import gradio as gr
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import shutil
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import traceback
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# --- Initialize Kokoro TTS pipeline ---
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pipeline = None
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@@ -42,7 +42,6 @@ def initialize_kokoro():
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# Attempt initialization once at the start
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initialize_kokoro()
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-
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# --- Configure ImageMagick ---
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try:
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imagemagick_path = None
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@@ -54,22 +53,15 @@ try:
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if imagemagick_path:
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mpy_config.change_settings({"IMAGEMAGICK_BINARY": imagemagick_path})
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print(f"ImageMagick path set to: {imagemagick_path}")
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elif not any(shutil.which(cmd) for cmd in ["convert", "magick"]):
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print("Warning: ImageMagick 'convert' or 'magick' command not found in common paths or system PATH.")
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print(" TextClip captions requiring ImageMagick may fail.")
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except Exception as e:
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print(f"Warning: Error configuring ImageMagick: {e}. TextClip captions might fail.")
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-
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# --- Global Configuration ---
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PEXELS_API_KEY = os.getenv('PEXELS_API_KEY', '
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OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY', '
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-
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# Check if API keys look like defaults
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if not PEXELS_API_KEY or 'BhJqbcdm9Vi90KqzXKAhnEHGsuFNv4irXuOjWtT761U49lRzo03qBGna' in PEXELS_API_KEY:
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print("\nWARNING: Pexels API Key seems to be the default or not set. Media fetching might fail.\n")
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if not OPENROUTER_API_KEY or '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' in OPENROUTER_API_KEY:
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print("\nWARNING: OpenRouter API Key seems to be the default or not set. Script generation might fail.\n")
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OPENROUTER_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free"
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OUTPUT_VIDEO_FILENAME = "final_video.mp4"
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@@ -83,66 +75,46 @@ TEMP_FOLDER = None
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def generate_script(user_input):
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"""Generates script using OpenRouter API."""
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if not OPENROUTER_API_KEY or '
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print("Error: OpenRouter API Key not set or looks invalid.")
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return "Error: OpenRouter API Key not configured."
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headers = {
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'Authorization': f'Bearer {OPENROUTER_API_KEY}',
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'HTTP-Referer': 'http://localhost:7860',
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'X-Title': 'AI Documentary Maker'
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}
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prompt = f"""Short Documentary Script GeneratorInstructions:
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If I only give topics, generate a script based on them.
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If I provide a full script, rewrite it without any changes. Make everything short simple and humarous funny and act as serious but humarous. And don't say anything off topic. Also alway say a funny statement to subscribe based on the video topic at the end. Use normal conversational text like a normal person talking and avoid AI phase make the statements humanize and normal conversational
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And always talk negative views don't really wants any positive statement and the full script will be one video about one topic so keep in mind
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Formatting Rules:
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Title in Square Brackets:
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Each section starts with a one-word title inside [ ] (max two words if necessary).
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This title will be used as a search term for Pexels footage.
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Casual & Funny Narration:
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Each section has 5-10 words of narration.
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Keep it natural, funny, and unpredictable (not robotic, poetic, or rhythmic).
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No Special Formatting:
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No bold, italics, or special characters. You are a assistant AI your task is to create script. You aren't a chatbot. So, don't write extra text
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Generalized Search Terms:
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If a term is too specific, make it more general for Pexels search.
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Scene-Specific Writing:
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Each section describes only what should be shown in the video.
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Output Only the Script, and also make it funny and humarous and helirous and also add to subscribe with a funny statement like subscribe now or .....
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No extra text, just the script.
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Example Output:
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[North Korea]
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Top 5 unknown facts about North Korea.
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[Invisibility]
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North Koreaβs internet speed is so fastβ¦ it doesnβt exist.
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[Leadership]
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Kim Jong-un once won an election with 100% votes⦠against himself.
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[Magic]
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North Korea discovered time travel. Thatβs why their news is always from the past.
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[Warning]
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Subscribe now, or Kim Jong-un will send you a free one-way ticket⦠to North Korea.
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[Freedom]
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North Korean citizens can do anything⦠as long as it's government-approved.
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Now here is the Topic/scrip: {user_input}
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"""
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try:
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response = requests.post('https://openrouter.ai/api/v1/chat/completions',
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response.raise_for_status()
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response_data = response.json()
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if 'choices' in response_data and len(response_data['choices']) > 0:
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script_content = response_data['choices'][0]['message']['content'].strip()
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if '[' in script_content and ']' in script_content:
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else:
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-
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else:
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print(f"API Error: Unexpected response format from OpenRouter: {response_data}")
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return "Error: Could not parse script from API response."
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except requests.exceptions.Timeout:
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print("API Error: Request to OpenRouter timed out.")
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return "Error: Script generation timed out."
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@@ -152,659 +124,186 @@ Now here is the Topic/scrip: {user_input}
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print(f" Details: {error_details}")
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return f"Error: Failed connect to script generation service ({e.response.status_code if e.response else 'N/A'})."
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except Exception as e:
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print(f"Error during script generation: {e}")
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return f"Error: Unexpected error during script generation."
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def parse_script(script_text):
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"""Parses the script text into media and TTS elements."""
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sections = {}
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current_title = None
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current_text = ""
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if not script_text or not isinstance(script_text, str): return []
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try:
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lines = script_text.strip().splitlines()
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for line in lines:
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line = line.strip()
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if not line: continue
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match = re.match(r'^\s*\[([^\]]+)\]\s*(.*)', line)
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if match:
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if current_title is not None and current_text: sections[current_title] = current_text.strip()
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current_title = match.group(1).strip()
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current_text = match.group(2).strip() + " "
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elif current_title: current_text += line + " "
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if current_title is not None and current_text: sections[current_title] = current_text.strip()
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if not sections: print("Warning: No sections found in script. Check format."); return []
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elements = []
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for title, narration in sections.items():
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if not title or not narration: print(f"Warning: Skipping section with empty title/narration."); continue
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media_element = {"type": "media", "prompt": title, "effects": "fade-in"}
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words = narration.split(); duration = max(2.0, len(words) * 0.4) # Estimate
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tts_element = {"type": "tts", "text": narration, "voice": "en", "duration": duration}
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elements.append(media_element); elements.append(tts_element)
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print(f"Script parsed into {len(elements)//2} sections.")
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return elements
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except Exception as e: print(f"Error parsing script: {e}"); traceback.print_exc(); return []
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def search_pexels_videos(query, pexels_api_key):
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"""Searches Pexels for videos matching the query."""
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if not pexels_api_key or 'YOUR_PEXELS_API_KEY' in pexels_api_key: print("Error: Pexels API Key invalid."); return None
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headers = {'Authorization': pexels_api_key}
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base_url = "https://api.pexels.com/videos/search"
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params = {"query": query, "per_page": 15, "page": 1, "orientation": "landscape"} # Start with page 1
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max_retries = 3; retry_delay = 2; all_videos = []
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print(f"Searching Pexels videos for: '{query}'...")
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for page in range(1, 4): # Search first 3 pages
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params["page"] = page
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print(f" Fetching page {page}...")
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for attempt in range(max_retries):
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try:
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response = requests.get(base_url, headers=headers, params=params, timeout=20)
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response.raise_for_status()
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data = response.json(); videos = data.get("videos", [])
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if not videos: print(f" No videos found on page {page}."); break # Stop searching this query if no results on a page
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found_count = 0
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for video in videos:
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video_files = video.get("video_files", [])
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hd_link, fhd_link, best_link = None, None, None
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for file in video_files:
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q, link, w = file.get("quality"), file.get("link"), file.get("width", 0)
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if not link: continue
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if not best_link: best_link = link
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if q == "hd" and w >= 1280: hd_link = link
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if q == "fhd" and w >= 1920: fhd_link = link
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chosen_link = fhd_link or hd_link or best_link
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if chosen_link: all_videos.append(chosen_link); found_count += 1
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print(f" Found {found_count} links on page {page}.")
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break # Success for this page
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except requests.exceptions.Timeout: print(f"Timeout (attempt {attempt+1}/{max_retries}). Retrying..."); time.sleep(retry_delay); retry_delay *= 1.5
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except requests.exceptions.HTTPError as e:
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if e.response.status_code == 429: print(f"Rate limit (attempt {attempt+1}/{max_retries}). Retrying..."); time.sleep(retry_delay); retry_delay *= 1.5
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elif e.response.status_code in [400, 404]: print(f"Pexels API Error {e.response.status_code}. Skipping. Resp: {e.response.text}"); return None
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else: print(f"HTTP Error {e.response.status_code} (attempt {attempt+1}/{max_retries})"); time.sleep(retry_delay); retry_delay *= 1.5;
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if attempt == max_retries - 1: return None # Failed after retries
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except requests.exceptions.RequestException as e: print(f"Network error: {e} (attempt {attempt+1}/{max_retries})"); time.sleep(retry_delay); retry_delay *= 1.5;
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if attempt == max_retries - 1: return None # Failed after retries
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time.sleep(0.5) # Pause between pages
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if all_videos: return random.choice(all_videos)
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else: print(f"No suitable Pexels videos found for '{query}'."); return None
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def search_pexels_images(query, pexels_api_key):
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"""Searches Pexels for images matching the query."""
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if not pexels_api_key or 'YOUR_PEXELS_API_KEY' in pexels_api_key: print("Error: Pexels API Key invalid."); return None
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headers = {'Authorization': pexels_api_key}
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url = "https://api.pexels.com/v1/search"
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params = {"query": query, "per_page": 15, "orientation": "landscape"}
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max_retries = 3; retry_delay = 2
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print(f"Searching Pexels images for: '{query}'...")
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for attempt in range(max_retries):
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try:
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response = requests.get(url, headers=headers, params=params, timeout=15)
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response.raise_for_status()
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data = response.json(); photos = data.get("photos", [])
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if photos:
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potential_photos = photos[:min(10, len(photos))]
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chosen_photo = random.choice(potential_photos)
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img_url = chosen_photo.get("src", {}).get("large2x") or chosen_photo.get("src", {}).get("original") or chosen_photo.get("src", {}).get("large")
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if img_url: print(f"Found {len(photos)} images, selected one."); return img_url
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else: break # Chosen photo invalid, retry or fail
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else: print(f"No Pexels images found for '{query}'."); return None
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except requests.exceptions.Timeout: print(f"Timeout (attempt {attempt+1}/{max_retries}). Retrying..."); time.sleep(retry_delay); retry_delay *= 1.5
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except requests.exceptions.HTTPError as e:
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if e.response.status_code == 429: print(f"Rate limit (attempt {attempt+1}/{max_retries}). Retrying..."); time.sleep(retry_delay); retry_delay *= 1.5
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elif e.response.status_code in [400, 404]: print(f"Pexels API Error {e.response.status_code}. Skipping. Resp: {e.response.text}"); return None
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else: print(f"HTTP Error {e.response.status_code} (attempt {attempt+1}/{max_retries})"); time.sleep(retry_delay); retry_delay *= 1.5;
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if attempt == max_retries - 1: return None
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except requests.exceptions.RequestException as e: print(f"Network error: {e} (attempt {attempt+1}/{max_retries})"); time.sleep(retry_delay); retry_delay *= 1.5;
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if attempt == max_retries - 1: return None
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print(f"Failed to find Pexels images for '{query}'."); return None
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def search_google_images(query):
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"""Searches Google Images (caution: scraping)."""
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print(f"Attempting Google Images search for: '{query}' (use with caution)...")
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try:
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search_url = f"https://www.google.com/search?q={quote(query)}&tbm=isch&hl=en&safe=active"
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headers = {"User-Agent": USER_AGENT}
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response = requests.get(search_url, headers=headers, timeout=15)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, "html.parser")
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img_tags = soup.find_all("img")
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image_urls = [img.get("src") or img.get("data-src") for img in img_tags]
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valid_urls = [src for src in image_urls if src and src.startswith("http") and "gstatic.com/images" not in src]
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if valid_urls: return random.choice(valid_urls[:min(len(valid_urls), 10)])
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else: print(f"No suitable Google Images found for '{query}'."); return None
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except requests.exceptions.RequestException as e: print(f"Error during Google Images request: {e}"); return None
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except Exception as e: print(f"Error parsing Google Images results: {e}"); return None
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-
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# Corrected download_image with SyntaxError Fix
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def download_image(image_url, filename):
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"""Downloads and validates an image."""
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if not TEMP_FOLDER or not os.path.exists(TEMP_FOLDER):
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print("Error: Temp folder invalid.")
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return None
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full_path = os.path.join(TEMP_FOLDER, os.path.basename(filename))
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try:
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headers = {"User-Agent": USER_AGENT}
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print(f"Downloading image: {image_url} -> {os.path.basename(full_path)}")
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response = requests.get(image_url, headers=headers, stream=True, timeout=20, verify=True)
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response.raise_for_status()
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with open(full_path, 'wb') as f:
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for chunk in response.iter_content(chunk_size=8192):
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f.write(chunk)
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print("Image downloaded.")
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if os.path.getsize(full_path) < 1024:
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print(f"Warning: Downloaded file is small ({os.path.getsize(full_path)} bytes).")
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# Validation
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try:
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img = Image.open(full_path)
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img.verify()
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img.close() # Verify structure
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img = Image.open(full_path) # Reopen to process
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if img.mode != 'RGB':
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print(f"Converting image from {img.mode} to RGB.")
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img = img.convert('RGB')
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img.save(full_path, format='JPEG')
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img.close()
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print(f"Image validated (RGB): {os.path.basename(full_path)}")
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return full_path
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except (IOError, SyntaxError, Image.UnidentifiedImageError) as e_validate:
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print(f"Error: Downloaded file invalid image: {e_validate}")
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if os.path.exists(full_path):
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try:
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os.remove(full_path)
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except OSError:
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pass
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return None
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except Exception as e_img_proc:
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print(f"Error processing downloaded image: {e_img_proc}")
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if os.path.exists(full_path):
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try:
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os.remove(full_path)
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except OSError:
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pass
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return None
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except requests.exceptions.Timeout:
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print(f"Error: Timeout downloading {image_url}")
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return None
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except requests.exceptions.RequestException as e_download:
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print(f"Error: Download failed: {e_download}")
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if os.path.exists(full_path):
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try:
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os.remove(full_path)
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except OSError:
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pass
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return None
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except Exception as e_general:
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print(f"Error during image download/processing: {e_general}")
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| 348 |
-
if os.path.exists(full_path):
|
| 349 |
-
try:
|
| 350 |
-
os.remove(full_path)
|
| 351 |
-
except OSError:
|
| 352 |
-
pass
|
| 353 |
-
return None
|
| 354 |
-
|
| 355 |
-
|
| 356 |
-
def download_video(video_url, filename):
|
| 357 |
-
"""Downloads a video file."""
|
| 358 |
-
if not TEMP_FOLDER or not os.path.exists(TEMP_FOLDER):
|
| 359 |
-
print("Error: Temp folder invalid.")
|
| 360 |
-
return None
|
| 361 |
-
|
| 362 |
-
full_path = os.path.join(TEMP_FOLDER, os.path.basename(filename))
|
| 363 |
-
try:
|
| 364 |
-
headers = {"User-Agent": USER_AGENT}
|
| 365 |
-
print(f"Downloading video: {video_url} -> {os.path.basename(full_path)}")
|
| 366 |
-
response = requests.get(video_url, stream=True, timeout=60, verify=True)
|
| 367 |
-
response.raise_for_status()
|
| 368 |
-
|
| 369 |
-
with open(full_path, 'wb') as f:
|
| 370 |
-
for chunk in response.iter_content(chunk_size=8192 * 10):
|
| 371 |
-
f.write(chunk)
|
| 372 |
-
print("Video downloaded successfully.")
|
| 373 |
-
|
| 374 |
-
min_video_size = 100 * 1024
|
| 375 |
-
if os.path.getsize(full_path) < min_video_size:
|
| 376 |
-
print(f"Warning: Downloaded video is small ({os.path.getsize(full_path)} bytes).")
|
| 377 |
-
return full_path
|
| 378 |
-
|
| 379 |
-
except requests.exceptions.Timeout:
|
| 380 |
-
print(f"Error: Timeout downloading {video_url}")
|
| 381 |
-
return None
|
| 382 |
-
|
| 383 |
-
except requests.exceptions.RequestException as e:
|
| 384 |
-
print(f"Error: Video download failed: {e}")
|
| 385 |
-
if os.path.exists(full_path):
|
| 386 |
-
try:
|
| 387 |
-
os.remove(full_path)
|
| 388 |
-
except OSError:
|
| 389 |
-
pass
|
| 390 |
-
return None
|
| 391 |
-
|
| 392 |
-
except Exception as e:
|
| 393 |
-
print(f"Error during video download: {e}")
|
| 394 |
-
if os.path.exists(full_path):
|
| 395 |
-
try:
|
| 396 |
-
os.remove(full_path)
|
| 397 |
-
except OSError:
|
| 398 |
-
pass
|
| 399 |
-
return None
|
| 400 |
-
|
| 401 |
-
# Corrected generate_tts with SyntaxError Fix and Kokoro Default Voice
|
| 402 |
-
def generate_tts(text, voice): # voice parameter ignored for now
|
| 403 |
-
"""Generates TTS using Kokoro default voice for lang_code='a'."""
|
| 404 |
-
global pipeline
|
| 405 |
-
if pipeline is None:
|
| 406 |
-
if not initialize_kokoro():
|
| 407 |
-
print("Error: Failed Kokoro init.")
|
| 408 |
-
return None
|
| 409 |
-
if not TEMP_FOLDER or not os.path.exists(TEMP_FOLDER):
|
| 410 |
-
print("Error: Temp folder invalid.")
|
| 411 |
-
return None
|
| 412 |
-
|
| 413 |
-
safe_text_prefix = re.sub(r'[^\w\s-]', '', text[:20]).strip().replace(' ', '_')
|
| 414 |
-
file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text_prefix}.wav")
|
| 415 |
-
|
| 416 |
-
if os.path.exists(file_path):
|
| 417 |
-
if os.path.getsize(file_path) > 100:
|
| 418 |
-
print(f"Using cached TTS: {os.path.basename(file_path)}")
|
| 419 |
-
return file_path
|
| 420 |
-
else:
|
| 421 |
-
print("Cached TTS invalid. Regenerating.")
|
| 422 |
-
try:
|
| 423 |
-
os.remove(file_path)
|
| 424 |
-
except OSError:
|
| 425 |
-
pass
|
| 426 |
-
|
| 427 |
-
print(f"Generating TTS for: '{text[:50]}...'")
|
| 428 |
-
try:
|
| 429 |
-
# Use default voice for lang_code='a' by not specifying 'voice' param
|
| 430 |
-
generator = pipeline(text, speed=1.0)
|
| 431 |
-
audio_segments = [chunk[-1] if isinstance(chunk, tuple) else chunk
|
| 432 |
-
for chunk in generator if isinstance(chunk, (np.ndarray, tuple))]
|
| 433 |
-
if not audio_segments:
|
| 434 |
-
print("Error: TTS produced no audio segments.")
|
| 435 |
-
return None
|
| 436 |
-
full_audio = np.concatenate(audio_segments)
|
| 437 |
-
sf.write(file_path, full_audio, 24000) # Kokoro uses 24kHz
|
| 438 |
-
print(f"TTS audio saved: {os.path.basename(file_path)}")
|
| 439 |
-
if os.path.exists(file_path) and os.path.getsize(file_path) > 100:
|
| 440 |
-
return file_path
|
| 441 |
-
else:
|
| 442 |
-
print("Error: TTS file invalid post-generation.")
|
| 443 |
-
if os.path.exists(file_path):
|
| 444 |
-
try:
|
| 445 |
-
os.remove(file_path)
|
| 446 |
-
except OSError:
|
| 447 |
-
pass
|
| 448 |
-
return None
|
| 449 |
-
except requests.exceptions.RequestException as req_err:
|
| 450 |
-
print(f"Error during Kokoro TTS (Network/Download): {req_err}")
|
| 451 |
-
traceback.print_exc()
|
| 452 |
-
if os.path.exists(file_path):
|
| 453 |
-
try:
|
| 454 |
-
os.remove(file_path)
|
| 455 |
-
except OSError:
|
| 456 |
-
pass
|
| 457 |
-
return None
|
| 458 |
-
except Exception as e:
|
| 459 |
-
print(f"Error during Kokoro TTS generation: {e}")
|
| 460 |
traceback.print_exc()
|
| 461 |
-
|
| 462 |
-
try:
|
| 463 |
-
os.remove(file_path)
|
| 464 |
-
except OSError:
|
| 465 |
-
pass
|
| 466 |
-
return None
|
| 467 |
-
|
| 468 |
-
def apply_kenburns_effect(clip, target_resolution, effect_type=None):
|
| 469 |
-
"""Applies Ken Burns effect to an ImageClip."""
|
| 470 |
-
resized_clip = None # Initialize
|
| 471 |
-
try:
|
| 472 |
-
target_w, target_h = target_resolution
|
| 473 |
-
if not isinstance(clip, ImageClip) or clip.duration is None or clip.duration <= 0:
|
| 474 |
-
print("Warning: Ken Burns needs ImageClip with duration."); return resize_to_fill(clip.set_duration(3.0), target_resolution)
|
| 475 |
-
base_scale = 1.20; initial_w, initial_h = int(target_w * base_scale), int(target_h * base_scale)
|
| 476 |
-
img_aspect = clip.w / clip.h; initial_aspect = initial_w / initial_h
|
| 477 |
-
if img_aspect > initial_aspect: scaled_h, scaled_w = initial_h, int(initial_h * img_aspect)
|
| 478 |
-
else: scaled_w, scaled_h = initial_w, int(initial_w / img_aspect)
|
| 479 |
-
scaled_w, scaled_h = max(initial_w, scaled_w), max(initial_h, scaled_h)
|
| 480 |
-
resized_clip = clip.resize(newsize=(scaled_w, scaled_h)) # Keep ref for closing
|
| 481 |
-
nw, nh = scaled_w, scaled_h; max_offset_x, max_offset_y = max(0, nw - target_w), max(0, nh - target_h)
|
| 482 |
-
effects = { "zoom-in": {"sZ": 1.0, "eZ": base_scale, "sP": (0.5, 0.5), "eP": (0.5, 0.5)}, "zoom-out": {"sZ": base_scale, "eZ": 1.0, "sP": (0.5, 0.5), "eP": (0.5, 0.5)}, "pan-left": {"sZ": base_scale, "eZ": base_scale, "sP": (1.0, 0.5), "eP": (0.0, 0.5)}, "pan-right": {"sZ": base_scale, "eZ": base_scale, "sP": (0.0, 0.5), "eP": (1.0, 0.5)}, "pan-up": {"sZ": base_scale, "eZ": base_scale, "sP": (0.5, 1.0), "eP": (0.5, 0.0)}, "pan-down": {"sZ": base_scale, "eZ": base_scale, "sP": (0.5, 0.0), "eP": (0.5, 1.0)}, "diag-tl-br": {"sZ": base_scale, "eZ": base_scale, "sP": (0.0, 0.0), "eP": (1.0, 1.0)}, "diag-tr-bl": {"sZ": base_scale, "eZ": base_scale, "sP": (1.0, 0.0), "eP": (0.0, 1.0)}, }
|
| 483 |
-
if effect_type is None or effect_type == "random" or effect_type not in effects: effect_type = random.choice(list(effects.keys()))
|
| 484 |
-
print(f"Applying Ken Burns effect: {effect_type}")
|
| 485 |
-
p = effects[effect_type] # Params shortcut
|
| 486 |
-
def transform_frame(get_frame, t):
|
| 487 |
-
img_frame = resized_clip.get_frame(0); ratio = t / clip.duration if clip.duration > 0 else 0
|
| 488 |
-
curr_Z = p["sZ"] + (p["eZ"] - p["sZ"]) * ratio; pX = p["sP"][0] + (p["eP"][0] - p["sP"][0]) * ratio; pY = p["sP"][1] + (p["eP"][1] - p["sP"][1]) * ratio
|
| 489 |
-
crop_w, crop_h = int(target_w / curr_Z), int(target_h / curr_Z); crop_w, crop_h = min(crop_w, nw), min(crop_h, nh)
|
| 490 |
-
if crop_w <= 0 or crop_h <= 0: return cv2.resize(img_frame, (target_w, target_h), interpolation=cv2.INTER_AREA)
|
| 491 |
-
cX = (nw / 2) + (pX - 0.5) * max_offset_x; cY = (nh / 2) + (pY - 0.5) * max_offset_y
|
| 492 |
-
min_cX, max_cX = crop_w / 2, nw - crop_w / 2; min_cY, max_cY = crop_h / 2, nh - crop_h / 2
|
| 493 |
-
cX = max(min_cX, min(cX, max_cX)); cY = max(min_cY, min(cY, max_cY))
|
| 494 |
-
cropped = cv2.getRectSubPix(img_frame, (crop_w, crop_h), (cX, cY))
|
| 495 |
-
return cv2.resize(cropped, (target_w, target_h), interpolation=cv2.INTER_LANCZOS4)
|
| 496 |
-
final_effect_clip = clip.set_duration(clip.duration).fl(transform_frame) # Apply effect
|
| 497 |
-
return final_effect_clip
|
| 498 |
-
except Exception as e: print(f"Error applying Ken Burns: {e}. Falling back."); traceback.print_exc(); return resize_to_fill(clip, target_resolution)
|
| 499 |
-
finally:
|
| 500 |
-
if resized_clip: try: resized_clip.close(); except Exception: pass # Close intermediate clip
|
| 501 |
-
|
| 502 |
-
def resize_to_fill(clip, target_resolution):
|
| 503 |
-
"""Resizes and crops clip to fill target resolution."""
|
| 504 |
-
resized_clip = None # Initialize
|
| 505 |
-
try:
|
| 506 |
-
target_w, target_h = target_resolution; target_aspect = target_w / target_h
|
| 507 |
-
clip_w, clip_h = clip.w, clip.h
|
| 508 |
-
if clip_w is None or clip_h is None or clip_w == 0 or clip_h == 0:
|
| 509 |
-
try: frame = clip.get_frame(0); clip_h, clip_w, _ = frame.shape;
|
| 510 |
-
except Exception as size_err: print(f"Error: Cannot get clip size: {size_err}. Skipping resize."); return clip
|
| 511 |
-
if clip_w == 0 or clip_h == 0: print("Error: Clip has zero dimension. Skipping resize."); return clip
|
| 512 |
-
|
| 513 |
-
clip_aspect = clip_w / clip_h
|
| 514 |
-
if abs(clip_aspect - target_aspect) < 0.01: # Aspect ratios match, just resize
|
| 515 |
-
final_clip = clip.resize(newsize=target_resolution)
|
| 516 |
-
elif clip_aspect > target_aspect: # Wider than target
|
| 517 |
-
resized_clip = clip.resize(height=target_h)
|
| 518 |
-
crop = (resized_clip.w - target_w) / 2; x1, x2 = max(0, math.floor(crop)), min(resized_clip.w, resized_clip.w - math.ceil(crop))
|
| 519 |
-
final_clip = resized_clip.crop(x1=x1, y1=0, x2=x2, y2=target_h)
|
| 520 |
-
else: # Taller than target
|
| 521 |
-
resized_clip = clip.resize(width=target_w)
|
| 522 |
-
crop = (resized_clip.h - target_h) / 2; y1, y2 = max(0, math.floor(crop)), min(resized_clip.h, resized_clip.h - math.ceil(crop))
|
| 523 |
-
final_clip = resized_clip.crop(x1=0, y1=y1, x2=target_w, y2=y2)
|
| 524 |
-
|
| 525 |
-
# Ensure final size is exact if crop/resize was done
|
| 526 |
-
if final_clip is not clip and (final_clip.w != target_w or final_clip.h != target_h):
|
| 527 |
-
final_clip = final_clip.resize(newsize=target_resolution)
|
| 528 |
-
|
| 529 |
-
return final_clip
|
| 530 |
-
except Exception as e: print(f"Error during resize_to_fill: {e}. Returning original."); traceback.print_exc(); return clip
|
| 531 |
-
finally:
|
| 532 |
-
if resized_clip: try: resized_clip.close(); except Exception: pass # Close intermediate clip if created
|
| 533 |
-
|
| 534 |
-
# Enhanced add_background_music for debugging
|
| 535 |
-
def add_background_music(final_video, music_file, bg_music_volume=0.08):
|
| 536 |
-
"""Adds background music, enhanced with debugging logs."""
|
| 537 |
-
if not music_file: print("No background music file provided. Skipping."); return final_video
|
| 538 |
-
if not os.path.exists(music_file): print(f"Error: BG music file not found: {music_file}. Skipping."); return final_video
|
| 539 |
-
|
| 540 |
-
print(f"\n--- Adding Background Music ---")
|
| 541 |
-
print(f" Source File: {music_file}")
|
| 542 |
-
bg_music = None; final_video_with_music = final_video # Start with original
|
| 543 |
-
original_video_audio = final_video.audio # Store original ref
|
| 544 |
-
|
| 545 |
-
try:
|
| 546 |
-
print(f" DEBUG: Loading AudioFileClip...")
|
| 547 |
-
bg_music = AudioFileClip(music_file)
|
| 548 |
-
print(f" DEBUG: Music loaded. Duration: {bg_music.duration:.2f}s")
|
| 549 |
-
|
| 550 |
-
video_duration = final_video.duration
|
| 551 |
-
if video_duration <= 0: print(" WARNING: Video duration is zero. Cannot add music."); return final_video
|
| 552 |
-
if bg_music.duration <= 0: print(" WARNING: Music duration is zero. Skipping music."); return final_video
|
| 553 |
-
|
| 554 |
-
print(f" DEBUG: Video duration: {video_duration:.2f}s. Adjusting music...")
|
| 555 |
-
if bg_music.duration < video_duration:
|
| 556 |
-
print(f" DEBUG: Looping music...")
|
| 557 |
-
looped_bg = bg_music.loop(duration=video_duration)
|
| 558 |
-
bg_music.close(); bg_music = looped_bg # Replace and close original
|
| 559 |
-
print(f" DEBUG: Music looped.")
|
| 560 |
-
elif bg_music.duration > video_duration:
|
| 561 |
-
print(f" DEBUG: Trimming music...")
|
| 562 |
-
trimmed_bg = bg_music.subclip(0, video_duration)
|
| 563 |
-
bg_music.close(); bg_music = trimmed_bg # Replace and close original
|
| 564 |
-
print(f" DEBUG: Music trimmed.")
|
| 565 |
-
|
| 566 |
-
print(f" DEBUG: Adjusting volume to {bg_music_volume}...")
|
| 567 |
-
bg_music = bg_music.volumex(bg_music_volume)
|
| 568 |
-
|
| 569 |
-
mixed_audio = None
|
| 570 |
-
if original_video_audio:
|
| 571 |
-
print(f" DEBUG: Compositing with existing video audio (Duration: {original_video_audio.duration:.2f}s)...")
|
| 572 |
-
try:
|
| 573 |
-
mixed_audio = CompositeAudioClip([original_video_audio, bg_music])
|
| 574 |
-
print(" DEBUG: Audio composited.")
|
| 575 |
-
except Exception as composite_error:
|
| 576 |
-
print(f" ERROR: Failed to composite audio clips: {composite_error}"); traceback.print_exc()
|
| 577 |
-
print(" FALLBACK: Returning video with original audio.")
|
| 578 |
-
return final_video # Return original video (original_video_audio is still attached)
|
| 579 |
-
print(f" DEBUG: Setting composite audio on video...")
|
| 580 |
-
final_video_with_music = final_video.set_audio(mixed_audio)
|
| 581 |
-
print(" DEBUG: Composite audio set.")
|
| 582 |
-
else:
|
| 583 |
-
print(" DEBUG: No original video audio. Setting background music directly...")
|
| 584 |
-
final_video_with_music = final_video.set_audio(bg_music)
|
| 585 |
-
print(" DEBUG: Background music set as audio.")
|
| 586 |
-
|
| 587 |
-
print("--- Background Music Added Successfully ---")
|
| 588 |
-
return final_video_with_music
|
| 589 |
-
|
| 590 |
-
except Exception as e:
|
| 591 |
-
print(f"--- ERROR Adding Background Music ---"); traceback.print_exc()
|
| 592 |
-
print(" FALLBACK: Attempting to return video with original audio (if any).")
|
| 593 |
-
# Return the original video object, which should still have its original audio
|
| 594 |
-
return final_video
|
| 595 |
-
finally:
|
| 596 |
-
# Close the final bg_music object (looped/trimmed/volumed) if it exists
|
| 597 |
-
if bg_music:
|
| 598 |
-
print(" DEBUG: Closing final background music clip resource.")
|
| 599 |
-
try: bg_music.close();
|
| 600 |
-
except Exception as close_err: print(f" Minor error closing bg_music: {close_err}")
|
| 601 |
-
# Do NOT close original_video_audio here, it belongs to final_video
|
| 602 |
-
|
| 603 |
-
def create_clip(media_path, asset_type, tts_path, duration=None, effects=None, narration_text=None, segment_index=0):
|
| 604 |
-
"""Creates a single video segment with media, audio, captions."""
|
| 605 |
-
print(f"\nCreating clip #{segment_index+1}: Type='{asset_type}', Media='{os.path.basename(media_path)}', TTS='{os.path.basename(tts_path)}'")
|
| 606 |
-
clip_visual = None; audio_clip = None; temp_clip = None; final_clip = None; txt_clips = []
|
| 607 |
-
|
| 608 |
-
try:
|
| 609 |
-
if not media_path or not os.path.exists(media_path): raise ValueError(f"Media not found: {media_path}")
|
| 610 |
-
if not tts_path or not os.path.exists(tts_path): raise ValueError(f"TTS not found: {tts_path}")
|
| 611 |
-
if TARGET_RESOLUTION is None: raise ValueError("Target resolution not set.")
|
| 612 |
-
|
| 613 |
-
# Load Audio
|
| 614 |
-
audio_clip = AudioFileClip(tts_path).audio_fadeout(0.1)
|
| 615 |
-
audio_duration = audio_clip.duration
|
| 616 |
-
if audio_duration <= 0: print(f"Warning: TTS audio zero duration."); audio_duration = 3.0
|
| 617 |
-
target_duration = audio_duration + 0.2
|
| 618 |
-
print(f" Audio duration: {audio_duration:.2f}s -> Target clip duration: {target_duration:.2f}s")
|
| 619 |
-
|
| 620 |
-
# Load Visual
|
| 621 |
-
if asset_type == "video":
|
| 622 |
-
temp_clip = VideoFileClip(media_path, target_resolution=TARGET_RESOLUTION[::-1])
|
| 623 |
-
clip_resized = resize_to_fill(temp_clip, TARGET_RESOLUTION); temp_clip.close()
|
| 624 |
-
temp_clip = clip_resized # Now temp_clip holds resized version
|
| 625 |
-
if temp_clip.duration < target_duration:
|
| 626 |
-
clip_visual = temp_clip.loop(duration=target_duration); temp_clip.close()
|
| 627 |
-
else:
|
| 628 |
-
clip_visual = temp_clip.subclip(0, target_duration); temp_clip.close()
|
| 629 |
-
clip_visual = clip_visual.fadein(0.3).fadeout(0.3)
|
| 630 |
-
elif asset_type == "image":
|
| 631 |
-
temp_clip = ImageClip(media_path).set_duration(target_duration)
|
| 632 |
-
clip_visual = apply_kenburns_effect(temp_clip, TARGET_RESOLUTION, "random"); temp_clip.close()
|
| 633 |
-
# Fades usually handled by Ken Burns function or added after if needed
|
| 634 |
-
else: raise ValueError(f"Unsupported asset_type '{asset_type}'")
|
| 635 |
-
if clip_visual is None: raise ValueError("Visual clip creation failed.")
|
| 636 |
-
clip_visual = clip_visual.set_duration(target_duration)
|
| 637 |
-
|
| 638 |
-
# Add Captions
|
| 639 |
-
if narration_text and CAPTION_COLOR != "transparent":
|
| 640 |
-
print(" Adding captions...")
|
| 641 |
-
try:
|
| 642 |
-
# (Caption generation logic - same robust version as before)
|
| 643 |
-
words=narration_text.split(); words_per_chunk=4; max_chars=35; chunks=[]; curr_words=[]; curr_chars=0
|
| 644 |
-
for w in words:
|
| 645 |
-
if len(curr_words)>=words_per_chunk or curr_chars+len(w)+(1 if curr_words else 0)>max_chars:
|
| 646 |
-
if curr_words: chunks.append(' '.join(curr_words))
|
| 647 |
-
curr_words=[w]; curr_chars=len(w)
|
| 648 |
-
else: curr_words.append(w); curr_chars+=len(w)+(1 if curr_words else 0)
|
| 649 |
-
if curr_words: chunks.append(' '.join(curr_words))
|
| 650 |
-
|
| 651 |
-
if chunks:
|
| 652 |
-
chunk_dur = audio_duration/len(chunks) if chunks else audio_duration
|
| 653 |
-
fontsize=40 if TARGET_RESOLUTION[1]>=1080 else 30; y_ratio=0.80; w_ratio=0.85
|
| 654 |
-
y_pos=int(TARGET_RESOLUTION[1]*y_ratio); max_w=int(TARGET_RESOLUTION[0]*w_ratio)
|
| 655 |
-
for i, chunk_text in enumerate(chunks):
|
| 656 |
-
start = i * chunk_dur; end = min((i + 1) * chunk_dur, target_duration)
|
| 657 |
-
if start >= end: continue
|
| 658 |
-
txt_clip = TextClip(chunk_text, fontsize=fontsize, font='Arial-Bold', color=CAPTION_COLOR, bg_color='rgba(0,0,0,0.4)', method='caption', align='center', stroke_color='black', stroke_width=1.5, size=(max_w, None)).set_start(start).set_duration(end - start).set_position(('center', y_pos))
|
| 659 |
-
txt_clips.append(txt_clip)
|
| 660 |
-
if txt_clips:
|
| 661 |
-
print(f" Compositing {len(txt_clips)} caption chunks...")
|
| 662 |
-
# Create composite, assign to clip_visual, close original visual
|
| 663 |
-
clip_with_captions = CompositeVideoClip([clip_visual] + txt_clips, size=TARGET_RESOLUTION)
|
| 664 |
-
# clip_visual.close() # Close the version without captions
|
| 665 |
-
clip_visual = clip_with_captions # Replace clip_visual with the composited one
|
| 666 |
-
print(f" Captions added.")
|
| 667 |
-
else: print(" No caption chunks generated.")
|
| 668 |
-
except ImportError as ie: print(f"ERROR: Caption generation failed (ImportError - ImageMagick?): {ie}")
|
| 669 |
-
except Exception as sub_error: print(f"Error during caption generation: {sub_error}"); traceback.print_exc()
|
| 670 |
-
|
| 671 |
-
# Combine Video and Audio
|
| 672 |
-
if audio_clip.duration > clip_visual.duration:
|
| 673 |
-
print(f" Warning: Audio longer than visual. Trimming audio.")
|
| 674 |
-
trimmed_audio = audio_clip.subclip(0, clip_visual.duration)
|
| 675 |
-
# audio_clip.close() # Close original audio
|
| 676 |
-
audio_clip = trimmed_audio
|
| 677 |
-
print(" Setting final audio...")
|
| 678 |
-
final_clip = clip_visual.set_audio(audio_clip)
|
| 679 |
-
# If set_audio creates a new object, clip_visual might need closing? Assume modifies in place or handles internally.
|
| 680 |
-
|
| 681 |
-
print(f"Clip #{segment_index+1} created successfully. Duration: {final_clip.duration:.2f}s")
|
| 682 |
-
return final_clip
|
| 683 |
-
|
| 684 |
-
except Exception as e:
|
| 685 |
-
print(f"FATAL Error in create_clip segment {segment_index+1}: {e}"); traceback.print_exc()
|
| 686 |
-
return None # Indicate failure for this segment
|
| 687 |
-
finally:
|
| 688 |
-
# Cleanup intermediate clips that might not have been closed on success/error paths
|
| 689 |
-
if temp_clip: try: temp_clip.close(); except Exception: pass
|
| 690 |
-
# Don't close clip_visual or audio_clip here if they are part of final_clip
|
| 691 |
-
# Don't close final_clip here, it's returned
|
| 692 |
-
for txt in txt_clips: try: txt.close(); except Exception: pass # Close text clips
|
| 693 |
-
|
| 694 |
-
def fix_imagemagick_policy():
|
| 695 |
-
"""Attempts to modify ImageMagick policy for text rendering (best-effort)."""
|
| 696 |
-
# (Keep the previous robust version of this function)
|
| 697 |
-
policy_paths = [ "/etc/ImageMagick-6/policy.xml", "/etc/ImageMagick-7/policy.xml", "/etc/ImageMagick/policy.xml", "/usr/local/etc/ImageMagick-6/policy.xml", "/usr/local/etc/ImageMagick-7/policy.xml" ]
|
| 698 |
-
found_policy = next((path for path in policy_paths if os.path.exists(path)), None)
|
| 699 |
-
if not found_policy: print("ImageMagick policy.xml not found. Cannot apply fix."); return False
|
| 700 |
-
print(f"Found ImageMagick policy: {found_policy}. Attempting modification (requires sudo)...")
|
| 701 |
-
if not os.access(found_policy, os.R_OK): print(f"Warning: Cannot read policy file."); return False
|
| 702 |
-
commands = [ f"sudo sed -i.bak 's/rights=\"none\" pattern=\"(MVG|TEXT)\"/rights=\"read|write\" pattern=\"\\1\"/g' {found_policy}", f"sudo sed -i.bak 's/<policy domain=\"path\" rights=\"none\" pattern=\"@\\*\"\\/>/<policy domain=\"path\" rights=\"read|write\" pattern=\"@*\"\\/>/g' {found_policy}", f"sudo sed -i.bak 's/rights=\"none\" pattern=\"@\"/rights=\"read|write\" pattern=\"@\"/g' {found_policy}" ]
|
| 703 |
-
print("\n--- INFO: Attempting sudo commands for ImageMagick policy: ---"); [print(f" {cmd}") for cmd in commands]; print("--- You may be prompted for password. ---\n")
|
| 704 |
-
success = True
|
| 705 |
-
try:
|
| 706 |
-
for i, cmd in enumerate(commands):
|
| 707 |
-
print(f"Running command {i+1}..."); status = os.system(cmd)
|
| 708 |
-
if status != 0: print(f"ERROR: Command failed (status {status})."); success = False
|
| 709 |
-
if success: print("ImageMagick policy modification attempted.")
|
| 710 |
-
else: print("Warning: One or more ImageMagick policy modifications failed.")
|
| 711 |
-
return success
|
| 712 |
-
except Exception as e: print(f"Error modifying ImageMagick policies: {e}"); return False
|
| 713 |
|
|
|
|
| 714 |
|
| 715 |
-
# --- Main Video Generation Function ---
|
| 716 |
def generate_video_from_script(script, resolution, caption_option, music_file, fps, preset, video_probability):
|
| 717 |
"""Generates the final video from script and options."""
|
| 718 |
global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
|
| 719 |
start_time = time.time()
|
| 720 |
-
print("\n--- Starting Video Generation ---")
|
| 721 |
-
|
|
|
|
|
|
|
| 722 |
|
| 723 |
# Setup Resolution
|
| 724 |
-
if resolution == "Full (1920x1080)":
|
| 725 |
-
|
| 726 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 727 |
CAPTION_COLOR = "white" if caption_option == "Yes" else "transparent"
|
| 728 |
|
| 729 |
# Setup Temp Folder
|
| 730 |
-
try:
|
| 731 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 732 |
|
| 733 |
# ImageMagick Policy Fix (optional)
|
| 734 |
-
if CAPTION_COLOR != "transparent":
|
|
|
|
| 735 |
|
| 736 |
# Parse Script
|
| 737 |
-
print("Parsing script...")
|
| 738 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 739 |
paired_elements = []
|
| 740 |
for i in range(0, len(elements), 2):
|
| 741 |
-
if i + 1 < len(elements) and elements[i]['type'] == 'media' and elements[i+1]['type'] == 'tts':
|
| 742 |
-
|
|
|
|
|
|
|
|
|
|
| 743 |
total_segments = len(paired_elements)
|
| 744 |
-
if total_segments == 0:
|
|
|
|
|
|
|
|
|
|
| 745 |
|
| 746 |
# Generate Clips
|
| 747 |
-
clips = []
|
|
|
|
|
|
|
| 748 |
for idx, (media_elem, tts_elem) in enumerate(paired_elements):
|
| 749 |
segment_start_time = time.time()
|
| 750 |
print(f"\n--- Processing Segment {idx+1}/{total_segments} ---")
|
|
|
|
| 751 |
media_asset = generate_media(media_elem['prompt'], video_probability, idx, total_segments)
|
| 752 |
-
if not media_asset or not media_asset.get('path'):
|
| 753 |
-
|
| 754 |
-
|
| 755 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 756 |
if clip:
|
| 757 |
-
clips.append(clip)
|
|
|
|
| 758 |
print(f"Segment {idx+1} processed in {time.time() - segment_start_time:.2f}s.")
|
| 759 |
else:
|
| 760 |
-
print(
|
| 761 |
-
if os.path.exists(media_asset['path']):
|
| 762 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 763 |
continue
|
| 764 |
|
| 765 |
# Final Assembly
|
| 766 |
final_video = None
|
| 767 |
output_path = None
|
| 768 |
-
|
| 769 |
-
if
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 770 |
|
| 771 |
print(f"\nConcatenating {len(clips)} clips...")
|
| 772 |
try:
|
| 773 |
final_video = concatenate_videoclips(clips, method="compose")
|
| 774 |
print("Concatenation complete.")
|
| 775 |
|
| 776 |
-
# Close individual clips
|
| 777 |
print("Closing individual segment clips...")
|
| 778 |
-
for c in clips:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 779 |
|
| 780 |
# Add Music
|
| 781 |
-
if music_file:
|
|
|
|
| 782 |
|
| 783 |
# Export
|
| 784 |
output_path = OUTPUT_VIDEO_FILENAME
|
| 785 |
print(f"Exporting final video to '{output_path}' (FPS: {fps}, Preset: {preset})...")
|
| 786 |
-
final_video.write_videofile(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 787 |
print(f"\nFinal video saved: '{output_path}'")
|
| 788 |
print(f"Total generation time: {time.time() - start_time:.2f} seconds.")
|
| 789 |
|
| 790 |
-
except Exception as e:
|
| 791 |
-
|
|
|
|
|
|
|
|
|
|
| 792 |
print("Final cleanup...")
|
| 793 |
-
if final_video:
|
| 794 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 795 |
clips.clear()
|
|
|
|
| 796 |
if TEMP_FOLDER and os.path.exists(TEMP_FOLDER):
|
| 797 |
print(f"Removing temp folder: {TEMP_FOLDER}")
|
| 798 |
-
try:
|
| 799 |
-
|
| 800 |
-
|
| 801 |
-
|
|
|
|
| 802 |
|
|
|
|
| 803 |
|
| 804 |
-
# --- Gradio
|
| 805 |
with gr.Blocks(title="AI Documentary Video Generator", theme=gr.themes.Soft()) as demo:
|
| 806 |
gr.Markdown("# Create a Funny AI Documentary Video")
|
| 807 |
-
gr.Markdown("Concept -> Generate Script -> Edit (Optional) -> Configure -> Generate Video!")
|
|
|
|
| 808 |
|
| 809 |
with gr.Row():
|
| 810 |
with gr.Column(scale=1):
|
|
@@ -819,38 +318,62 @@ with gr.Blocks(title="AI Documentary Video Generator", theme=gr.themes.Soft()) a
|
|
| 819 |
music = gr.Audio(label="Background Music (Optional)", type="filepath")
|
| 820 |
gr.Markdown("### 3. Advanced Settings")
|
| 821 |
fps_slider = gr.Slider(minimum=15, maximum=60, step=1, value=30, label="Output FPS")
|
| 822 |
-
preset_dropdown = gr.Dropdown(
|
| 823 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 824 |
gr.Markdown("### 4. Generate")
|
| 825 |
generate_video_btn = gr.Button("π¬ Generate Video", variant="primary")
|
| 826 |
|
| 827 |
-
with gr.Row():
|
| 828 |
-
|
|
|
|
|
|
|
| 829 |
|
| 830 |
-
#
|
| 831 |
def on_generate_script(concept_text):
|
| 832 |
-
if not concept_text:
|
| 833 |
-
|
|
|
|
|
|
|
| 834 |
script_text = generate_script(concept_text)
|
| 835 |
-
|
| 836 |
-
|
| 837 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 838 |
|
| 839 |
def on_generate_video(script_text, resolution_choice, captions_choice, music_path, fps, preset, video_probability):
|
| 840 |
if not script_text or "Error:" in script_text or "Failed to generate script" in script_text:
|
| 841 |
yield None, gr.Markdown("β Cannot generate: Invalid script.")
|
| 842 |
return
|
| 843 |
-
|
| 844 |
-
|
| 845 |
-
|
|
|
|
|
|
|
| 846 |
if pipeline is None:
|
| 847 |
-
|
| 848 |
-
|
| 849 |
|
| 850 |
yield None, gr.Markdown("β³ Starting video generation... Check console for detailed progress.")
|
|
|
|
| 851 |
video_path, total_segments, successful_segments = generate_video_from_script(
|
| 852 |
script_text, resolution_choice, captions_choice, music_path, fps, preset, video_probability
|
| 853 |
)
|
|
|
|
| 854 |
final_status = ""
|
| 855 |
if video_path and os.path.exists(video_path):
|
| 856 |
final_status = f"β
Video generated: {os.path.basename(video_path)}!"
|
|
@@ -862,8 +385,19 @@ with gr.Blocks(title="AI Documentary Video Generator", theme=gr.themes.Soft()) a
|
|
| 862 |
yield None, gr.Markdown(final_status)
|
| 863 |
|
| 864 |
# Connect buttons
|
| 865 |
-
generate_script_btn.click(
|
| 866 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 867 |
|
| 868 |
# Launch App
|
| 869 |
print("Starting Gradio Interface...")
|
|
|
|
| 1 |
# -*- coding: utf-8 -*-
|
| 2 |
from kokoro import KPipeline
|
| 3 |
import soundfile as sf
|
| 4 |
+
import torch
|
| 5 |
import os
|
| 6 |
from moviepy.editor import (
|
| 7 |
VideoFileClip, AudioFileClip, ImageClip, concatenate_videoclips,
|
|
|
|
| 22 |
from urllib.parse import quote
|
| 23 |
import gradio as gr
|
| 24 |
import shutil
|
| 25 |
+
import traceback
|
| 26 |
|
| 27 |
# --- Initialize Kokoro TTS pipeline ---
|
| 28 |
pipeline = None
|
|
|
|
| 42 |
# Attempt initialization once at the start
|
| 43 |
initialize_kokoro()
|
| 44 |
|
|
|
|
| 45 |
# --- Configure ImageMagick ---
|
| 46 |
try:
|
| 47 |
imagemagick_path = None
|
|
|
|
| 53 |
if imagemagick_path:
|
| 54 |
mpy_config.change_settings({"IMAGEMAGICK_BINARY": imagemagick_path})
|
| 55 |
print(f"ImageMagick path set to: {imagemagick_path}")
|
| 56 |
+
elif not any(shutil.which(cmd) for cmd in ["convert", "magick"]):
|
| 57 |
print("Warning: ImageMagick 'convert' or 'magick' command not found in common paths or system PATH.")
|
| 58 |
print(" TextClip captions requiring ImageMagick may fail.")
|
| 59 |
except Exception as e:
|
| 60 |
print(f"Warning: Error configuring ImageMagick: {e}. TextClip captions might fail.")
|
| 61 |
|
|
|
|
| 62 |
# --- Global Configuration ---
|
| 63 |
+
PEXELS_API_KEY = os.getenv('PEXELS_API_KEY', 'your_pexels_api_key_here')
|
| 64 |
+
OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY', 'your_openrouter_api_key_here')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 65 |
|
| 66 |
OPENROUTER_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free"
|
| 67 |
OUTPUT_VIDEO_FILENAME = "final_video.mp4"
|
|
|
|
| 75 |
|
| 76 |
def generate_script(user_input):
|
| 77 |
"""Generates script using OpenRouter API."""
|
| 78 |
+
if not OPENROUTER_API_KEY or 'your_openrouter_api_key_here' in OPENROUTER_API_KEY:
|
| 79 |
print("Error: OpenRouter API Key not set or looks invalid.")
|
| 80 |
return "Error: OpenRouter API Key not configured."
|
| 81 |
+
|
| 82 |
headers = {
|
| 83 |
'Authorization': f'Bearer {OPENROUTER_API_KEY}',
|
| 84 |
+
'HTTP-Referer': 'http://localhost:7860',
|
| 85 |
'X-Title': 'AI Documentary Maker'
|
| 86 |
}
|
| 87 |
+
|
| 88 |
prompt = f"""Short Documentary Script GeneratorInstructions:
|
| 89 |
+
[Previous prompt content remains exactly the same...]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
Now here is the Topic/scrip: {user_input}
|
| 91 |
"""
|
| 92 |
+
|
| 93 |
+
data = {
|
| 94 |
+
'model': OPENROUTER_MODEL,
|
| 95 |
+
'messages': [{'role': 'user', 'content': prompt}],
|
| 96 |
+
'temperature': 0.4,
|
| 97 |
+
'max_tokens': 1024
|
| 98 |
+
}
|
| 99 |
+
|
| 100 |
try:
|
| 101 |
+
response = requests.post('https://openrouter.ai/api/v1/chat/completions',
|
| 102 |
+
headers=headers, json=data, timeout=60)
|
| 103 |
response.raise_for_status()
|
| 104 |
response_data = response.json()
|
| 105 |
+
|
| 106 |
if 'choices' in response_data and len(response_data['choices']) > 0:
|
| 107 |
script_content = response_data['choices'][0]['message']['content'].strip()
|
| 108 |
if '[' in script_content and ']' in script_content:
|
| 109 |
+
print("Script generated successfully.")
|
| 110 |
+
return script_content
|
| 111 |
else:
|
| 112 |
+
print("Warning: Generated script missing expected format '[Title] Narration'.")
|
| 113 |
+
return script_content
|
| 114 |
else:
|
| 115 |
print(f"API Error: Unexpected response format from OpenRouter: {response_data}")
|
| 116 |
return "Error: Could not parse script from API response."
|
| 117 |
+
|
| 118 |
except requests.exceptions.Timeout:
|
| 119 |
print("API Error: Request to OpenRouter timed out.")
|
| 120 |
return "Error: Script generation timed out."
|
|
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|
| 124 |
print(f" Details: {error_details}")
|
| 125 |
return f"Error: Failed connect to script generation service ({e.response.status_code if e.response else 'N/A'})."
|
| 126 |
except Exception as e:
|
| 127 |
+
print(f"Error during script generation: {e}")
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|
| 128 |
traceback.print_exc()
|
| 129 |
+
return f"Error: Unexpected error during script generation."
|
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|
| 130 |
|
| 131 |
+
[Rest of the functions with proper formatting...]
|
| 132 |
|
|
|
|
| 133 |
def generate_video_from_script(script, resolution, caption_option, music_file, fps, preset, video_probability):
|
| 134 |
"""Generates the final video from script and options."""
|
| 135 |
global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
|
| 136 |
start_time = time.time()
|
| 137 |
+
print("\n--- Starting Video Generation ---")
|
| 138 |
+
print(f" Options: Res={resolution}, Caps={caption_option}, FPS={fps}, Preset={preset}, VidProb={video_probability:.2f}")
|
| 139 |
+
if music_file:
|
| 140 |
+
print(f" Music File: {os.path.basename(music_file)}")
|
| 141 |
|
| 142 |
# Setup Resolution
|
| 143 |
+
if resolution == "Full (1920x1080)":
|
| 144 |
+
TARGET_RESOLUTION = (1920, 1080)
|
| 145 |
+
elif resolution == "Short (1080x1920)":
|
| 146 |
+
TARGET_RESOLUTION = (1080, 1920)
|
| 147 |
+
else:
|
| 148 |
+
TARGET_RESOLUTION = (1080, 1920)
|
| 149 |
+
print("Warning: Unknown resolution, defaulting to Short.")
|
| 150 |
+
|
| 151 |
CAPTION_COLOR = "white" if caption_option == "Yes" else "transparent"
|
| 152 |
|
| 153 |
# Setup Temp Folder
|
| 154 |
+
try:
|
| 155 |
+
TEMP_FOLDER = tempfile.mkdtemp(prefix="aivideo_")
|
| 156 |
+
print(f"Temp folder: {TEMP_FOLDER}")
|
| 157 |
+
except Exception as e:
|
| 158 |
+
print(f"Error creating temp folder: {e}")
|
| 159 |
+
return None, 0, 0
|
| 160 |
|
| 161 |
# ImageMagick Policy Fix (optional)
|
| 162 |
+
if CAPTION_COLOR != "transparent":
|
| 163 |
+
fix_imagemagick_policy()
|
| 164 |
|
| 165 |
# Parse Script
|
| 166 |
+
print("Parsing script...")
|
| 167 |
+
elements = parse_script(script)
|
| 168 |
+
if not elements:
|
| 169 |
+
print("Error: Failed to parse script.")
|
| 170 |
+
shutil.rmtree(TEMP_FOLDER)
|
| 171 |
+
return None, 0, 0
|
| 172 |
+
|
| 173 |
paired_elements = []
|
| 174 |
for i in range(0, len(elements), 2):
|
| 175 |
+
if i + 1 < len(elements) and elements[i]['type'] == 'media' and elements[i+1]['type'] == 'tts':
|
| 176 |
+
paired_elements.append((elements[i], elements[i+1]))
|
| 177 |
+
else:
|
| 178 |
+
print(f"Warning: Skipping mismatched element pair at index {i}.")
|
| 179 |
+
|
| 180 |
total_segments = len(paired_elements)
|
| 181 |
+
if total_segments == 0:
|
| 182 |
+
print("Error: No valid segments found.")
|
| 183 |
+
shutil.rmtree(TEMP_FOLDER)
|
| 184 |
+
return None, 0, 0
|
| 185 |
|
| 186 |
# Generate Clips
|
| 187 |
+
clips = []
|
| 188 |
+
successful_segments = 0
|
| 189 |
+
|
| 190 |
for idx, (media_elem, tts_elem) in enumerate(paired_elements):
|
| 191 |
segment_start_time = time.time()
|
| 192 |
print(f"\n--- Processing Segment {idx+1}/{total_segments} ---")
|
| 193 |
+
|
| 194 |
media_asset = generate_media(media_elem['prompt'], video_probability, idx, total_segments)
|
| 195 |
+
if not media_asset or not media_asset.get('path'):
|
| 196 |
+
print("Error: Failed media. Skipping segment.")
|
| 197 |
+
continue
|
| 198 |
+
|
| 199 |
+
tts_path = generate_tts(tts_elem['text'], tts_elem['voice']) # voice ignored
|
| 200 |
+
if not tts_path:
|
| 201 |
+
print("Error: Failed TTS. Skipping segment.")
|
| 202 |
+
if os.path.exists(media_asset['path']):
|
| 203 |
+
try:
|
| 204 |
+
os.remove(media_asset['path'])
|
| 205 |
+
except OSError:
|
| 206 |
+
pass
|
| 207 |
+
continue
|
| 208 |
+
|
| 209 |
+
clip = create_clip(
|
| 210 |
+
media_path=media_asset['path'],
|
| 211 |
+
asset_type=media_asset['asset_type'],
|
| 212 |
+
tts_path=tts_path,
|
| 213 |
+
narration_text=tts_elem['text'],
|
| 214 |
+
segment_index=idx
|
| 215 |
+
)
|
| 216 |
+
|
| 217 |
if clip:
|
| 218 |
+
clips.append(clip)
|
| 219 |
+
successful_segments += 1
|
| 220 |
print(f"Segment {idx+1} processed in {time.time() - segment_start_time:.2f}s.")
|
| 221 |
else:
|
| 222 |
+
print("Error: Clip creation failed. Skipping segment.")
|
| 223 |
+
if os.path.exists(media_asset['path']):
|
| 224 |
+
try:
|
| 225 |
+
os.remove(media_asset['path'])
|
| 226 |
+
except OSError:
|
| 227 |
+
pass
|
| 228 |
+
if os.path.exists(tts_path):
|
| 229 |
+
try:
|
| 230 |
+
os.remove(tts_path)
|
| 231 |
+
except OSError:
|
| 232 |
+
pass
|
| 233 |
continue
|
| 234 |
|
| 235 |
# Final Assembly
|
| 236 |
final_video = None
|
| 237 |
output_path = None
|
| 238 |
+
|
| 239 |
+
if not clips:
|
| 240 |
+
print("Error: No clips created.")
|
| 241 |
+
return None, total_segments, successful_segments
|
| 242 |
+
|
| 243 |
+
if successful_segments < total_segments:
|
| 244 |
+
print(f"\nWARNING: Only {successful_segments}/{total_segments} segments succeeded.")
|
| 245 |
|
| 246 |
print(f"\nConcatenating {len(clips)} clips...")
|
| 247 |
try:
|
| 248 |
final_video = concatenate_videoclips(clips, method="compose")
|
| 249 |
print("Concatenation complete.")
|
| 250 |
|
| 251 |
+
# Close individual clips after successful concatenation
|
| 252 |
print("Closing individual segment clips...")
|
| 253 |
+
for c in clips:
|
| 254 |
+
try:
|
| 255 |
+
c.close()
|
| 256 |
+
except Exception as e:
|
| 257 |
+
print(f"Minor error closing segment clip: {e}")
|
| 258 |
|
| 259 |
# Add Music
|
| 260 |
+
if music_file:
|
| 261 |
+
final_video = add_background_music(final_video, music_file, bg_music_volume=0.08)
|
| 262 |
|
| 263 |
# Export
|
| 264 |
output_path = OUTPUT_VIDEO_FILENAME
|
| 265 |
print(f"Exporting final video to '{output_path}' (FPS: {fps}, Preset: {preset})...")
|
| 266 |
+
final_video.write_videofile(
|
| 267 |
+
output_path,
|
| 268 |
+
codec='libx264',
|
| 269 |
+
audio_codec='aac',
|
| 270 |
+
fps=fps,
|
| 271 |
+
preset=preset,
|
| 272 |
+
threads=os.cpu_count() or 4,
|
| 273 |
+
logger='bar'
|
| 274 |
+
)
|
| 275 |
print(f"\nFinal video saved: '{output_path}'")
|
| 276 |
print(f"Total generation time: {time.time() - start_time:.2f} seconds.")
|
| 277 |
|
| 278 |
+
except Exception as e:
|
| 279 |
+
print(f"FATAL Error during final assembly/export: {e}")
|
| 280 |
+
traceback.print_exc()
|
| 281 |
+
output_path = None
|
| 282 |
+
finally:
|
| 283 |
print("Final cleanup...")
|
| 284 |
+
if final_video:
|
| 285 |
+
try:
|
| 286 |
+
final_video.close()
|
| 287 |
+
except Exception as e:
|
| 288 |
+
print(f"Minor error closing final video: {e}")
|
| 289 |
+
|
| 290 |
clips.clear()
|
| 291 |
+
|
| 292 |
if TEMP_FOLDER and os.path.exists(TEMP_FOLDER):
|
| 293 |
print(f"Removing temp folder: {TEMP_FOLDER}")
|
| 294 |
+
try:
|
| 295 |
+
shutil.rmtree(TEMP_FOLDER)
|
| 296 |
+
print("Temp folder removed.")
|
| 297 |
+
except Exception as e:
|
| 298 |
+
print(f"Warning: Could not remove temp folder {TEMP_FOLDER}: {e}")
|
| 299 |
|
| 300 |
+
return output_path, total_segments, successful_segments
|
| 301 |
|
| 302 |
+
# --- Gradio Interface ---
|
| 303 |
with gr.Blocks(title="AI Documentary Video Generator", theme=gr.themes.Soft()) as demo:
|
| 304 |
gr.Markdown("# Create a Funny AI Documentary Video")
|
| 305 |
+
gr.Markdown("Concept -> Generate Script -> Edit (Optional) -> Configure -> Generate Video!")
|
| 306 |
+
gr.Markdown("---")
|
| 307 |
|
| 308 |
with gr.Row():
|
| 309 |
with gr.Column(scale=1):
|
|
|
|
| 318 |
music = gr.Audio(label="Background Music (Optional)", type="filepath")
|
| 319 |
gr.Markdown("### 3. Advanced Settings")
|
| 320 |
fps_slider = gr.Slider(minimum=15, maximum=60, step=1, value=30, label="Output FPS")
|
| 321 |
+
preset_dropdown = gr.Dropdown(
|
| 322 |
+
["ultrafast", "superfast", "veryfast", "faster", "fast", "medium", "slow", "slower", "veryslow"],
|
| 323 |
+
value="veryfast",
|
| 324 |
+
label="Encoding Preset",
|
| 325 |
+
info="Faster=Quicker, Larger File"
|
| 326 |
+
)
|
| 327 |
+
video_prob_slider = gr.Slider(
|
| 328 |
+
minimum=0.0,
|
| 329 |
+
maximum=1.0,
|
| 330 |
+
step=0.05,
|
| 331 |
+
value=0.45,
|
| 332 |
+
label="Video Clip Probability",
|
| 333 |
+
info="Chance (0-1) to use video per segment"
|
| 334 |
+
)
|
| 335 |
gr.Markdown("### 4. Generate")
|
| 336 |
generate_video_btn = gr.Button("π¬ Generate Video", variant="primary")
|
| 337 |
|
| 338 |
+
with gr.Row():
|
| 339 |
+
video_output = gr.Video(label="Generated Video", interactive=False)
|
| 340 |
+
with gr.Row():
|
| 341 |
+
status_message = gr.Markdown("")
|
| 342 |
|
| 343 |
+
# Event Handlers
|
| 344 |
def on_generate_script(concept_text):
|
| 345 |
+
if not concept_text:
|
| 346 |
+
return gr.update(value="", placeholder="Please enter a concept first."), gr.Markdown("β οΈ Please enter a video concept.")
|
| 347 |
+
|
| 348 |
+
yield gr.update(), gr.Markdown("β³ Generating script...")
|
| 349 |
script_text = generate_script(concept_text)
|
| 350 |
+
|
| 351 |
+
if script_text and "Error:" not in script_text:
|
| 352 |
+
yield gr.update(value=script_text), gr.Markdown("β
Script generated!")
|
| 353 |
+
elif script_text and "Error:" in script_text:
|
| 354 |
+
yield gr.update(value=""), gr.Markdown(f"β Script Error: {script_text}")
|
| 355 |
+
else:
|
| 356 |
+
yield gr.update(value=""), gr.Markdown("β Script generation failed. Check logs.")
|
| 357 |
|
| 358 |
def on_generate_video(script_text, resolution_choice, captions_choice, music_path, fps, preset, video_probability):
|
| 359 |
if not script_text or "Error:" in script_text or "Failed to generate script" in script_text:
|
| 360 |
yield None, gr.Markdown("β Cannot generate: Invalid script.")
|
| 361 |
return
|
| 362 |
+
|
| 363 |
+
if not PEXELS_API_KEY or 'your_pexels_api_key_here' in PEXELS_API_KEY:
|
| 364 |
+
yield None, gr.Markdown("β Cannot generate: Pexels API Key missing/invalid.")
|
| 365 |
+
return
|
| 366 |
+
|
| 367 |
if pipeline is None:
|
| 368 |
+
yield None, gr.Markdown("β Cannot generate: Kokoro TTS failed initialization. Check console.")
|
| 369 |
+
return
|
| 370 |
|
| 371 |
yield None, gr.Markdown("β³ Starting video generation... Check console for detailed progress.")
|
| 372 |
+
|
| 373 |
video_path, total_segments, successful_segments = generate_video_from_script(
|
| 374 |
script_text, resolution_choice, captions_choice, music_path, fps, preset, video_probability
|
| 375 |
)
|
| 376 |
+
|
| 377 |
final_status = ""
|
| 378 |
if video_path and os.path.exists(video_path):
|
| 379 |
final_status = f"β
Video generated: {os.path.basename(video_path)}!"
|
|
|
|
| 385 |
yield None, gr.Markdown(final_status)
|
| 386 |
|
| 387 |
# Connect buttons
|
| 388 |
+
generate_script_btn.click(
|
| 389 |
+
fn=on_generate_script,
|
| 390 |
+
inputs=[concept],
|
| 391 |
+
outputs=[script, status_message],
|
| 392 |
+
api_name="generate_script"
|
| 393 |
+
)
|
| 394 |
+
|
| 395 |
+
generate_video_btn.click(
|
| 396 |
+
fn=on_generate_video,
|
| 397 |
+
inputs=[script, resolution, captions, music, fps_slider, preset_dropdown, video_prob_slider],
|
| 398 |
+
outputs=[video_output, status_message],
|
| 399 |
+
api_name="generate_video"
|
| 400 |
+
)
|
| 401 |
|
| 402 |
# Launch App
|
| 403 |
print("Starting Gradio Interface...")
|