Update app.py

app.py

@@ -1,865 +1,5 @@
-
-# Import necessary libraries
-from kokoro import KPipeline
-from IPython.display import display, Audio
-import soundfile as sf
-import torch
-from IPython.display import display, Audio, HTML
-import soundfile as sf
-import os
-from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip
-from PIL import Image
-import tempfile
-import random
-import cv2
-import math
-import os, requests, io, time, re, random
-from moviepy.editor import (
-    VideoFileClip, concatenate_videoclips, AudioFileClip, ImageClip,
-    CompositeVideoClip, TextClip
-)
-import moviepy.video.fx.all as vfx
-import moviepy.config as mpy_config
-from pydub import AudioSegment
-from pydub.generators import Sine
-from google.colab import files
-from PIL import Image, ImageDraw, ImageFont
-import numpy as np
-from bs4 import BeautifulSoup
-import base64
-from urllib.parse import quote
-import pysrt
-from gtts import gTTS
-import gradio as gr  # Import Gradio
-
-# Initialize Kokoro TTS pipeline (using American English)
-pipeline = KPipeline(lang_code='a')  # Use voice 'af_heart' for American English
-# Ensure ImageMagick binary is set
-mpy_config.change_settings({"IMAGEMAGICK_BINARY": "/usr/bin/convert"})
-
-# ---------------- Global Configuration ---------------- #
-PEXELS_API_KEY = 'BhJqbcdm9Vi90KqzXKAhnEHGsuFNv4irXuOjWtT761U49lRzo03qBGna'
-OPENROUTER_API_KEY = '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'
-OPENROUTER_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free"
-OUTPUT_VIDEO_FILENAME = "final_video.mp4"
-USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
-
-# ---------------- Helper Functions ---------------- #
-# (Your existing helper functions remain unchanged: generate_script, parse_script, 
-# search_pexels_videos, search_pexels_images, search_google_images, download_image, 
-# download_video, generate_media, generate_tts, apply_kenburns_effect, 
-# resize_to_fill, find_mp3_files, add_background_music, create_clip, 
-# fix_imagemagick_policy)
-
-# Define these globally as they were in your original code but will be set per run
-TARGET_RESOLUTION = None
-CAPTION_COLOR = None
-TEMP_FOLDER = None
-
-def generate_script(user_input):
-    """Generate documentary script with proper OpenRouter handling."""
-    headers = {
-        'Authorization': f'Bearer {OPENROUTER_API_KEY}',
-        'HTTP-Referer': 'https://your-domain.com',
-        'X-Title': 'AI Documentary Maker'
-    }
-
-    prompt = f"""Short Documentary Script GeneratorInstructions:
-
-If I say "use this," just output the script exactly as I gave it.
-If I only give topics, generate a script based on them.
-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
-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
-Formatting Rules:
-
-
-Title in Square Brackets:
-
-
-Each section starts with a one-word title inside [ ] (max two words if necessary).
-This title will be used as a search term for Pexels footage.
-
-
-
-Casual & Funny Narration:
-
-
-Each section has 5-10 words of narration.
-Keep it natural, funny, and unpredictable (not robotic, poetic, or rhythmic).
-
-
-
-No Special Formatting:
-
-
-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
-
-
-
-Generalized Search Terms:
-
-
-If a term is too specific, make it more general for Pexels search.
-
-
-
-Scene-Specific Writing:
-
-
-Each section describes only what should be shown in the video.
-
-
-
-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 .....
-
-
-No extra text, just the script.
-
-
-
-Example Output:
-[North Korea]
-
-Top 5 unknown facts about North Korea.
-
-[Invisibility]
-
-North Korea’s internet speed is so fast… it doesn’t exist.
-
-[Leadership]
-
-Kim Jong-un once won an election with 100% votes… against himself.
-
-[Magic]
-
-North Korea discovered time travel. That’s why their news is always from the past.
-
-[Warning]
-
-Subscribe now, or Kim Jong-un will send you a free one-way ticket… to North Korea.
-
-[Freedom]
-
-North Korean citizens can do anything… as long as it's government-approved.
-Now here is the Topic/scrip: {user_input}
-"""
-
-    data = {
-        'model': OPENROUTER_MODEL,
-        'messages': [{'role': 'user', 'content': prompt}],
-        'temperature': 0.4,
-        'max_tokens': 5000
-    }
-
-    try:
-        response = requests.post(
-            'https://openrouter.ai/api/v1/chat/completions',
-            headers=headers,
-            json=data,
-            timeout=30
-        )
-
-        if response.status_code == 200:
-            response_data = response.json()
-            if 'choices' in response_data and len(response_data['choices']) > 0:
-                return response_data['choices'][0]['message']['content']
-            else:
-                print("Unexpected response format:", response_data)
-                return None
-        else:
-            print(f"API Error {response.status_code}: {response.text}")
-            return None
-
-    except Exception as e:
-        print(f"Request failed: {str(e)}")
-        return None
-
-def parse_script(script_text):
-    """
-    Parse the generated script into a list of elements.
-    For each section, create two elements:
-      - A 'media' element using the section title as the visual prompt.
-      - A 'tts' element with the narration text, voice info, and computed duration.
-    """
-    sections = {}
-    current_title = None
-    current_text = ""
-
-    try:
-        for line in script_text.splitlines():
-            line = line.strip()
-            if line.startswith("[") and "]" in line:
-                bracket_start = line.find("[")
-                bracket_end = line.find("]", bracket_start)
-                if bracket_start != -1 and bracket_end != -1:
-                    if current_title is not None:
-                        sections[current_title] = current_text.strip()
-                    current_title = line[bracket_start+1:bracket_end]
-                    current_text = line[bracket_end+1:].strip()
-            elif current_title:
-                current_text += line + " "
-
-        if current_title:
-            sections[current_title] = current_text.strip()
-
-        elements = []
-        for title, narration in sections.items():
-            if not title or not narration:
-                continue
-
-            media_element = {"type": "media", "prompt": title, "effects": "fade-in"}
-            words = narration.split()
-            duration = max(3, len(words) * 0.5)
-            tts_element = {"type": "tts", "text": narration, "voice": "en", "duration": duration}
-            elements.append(media_element)
-            elements.append(tts_element)
-
-        return elements
-    except Exception as e:
-        print(f"Error parsing script: {e}")
-        return []
-
-def search_pexels_videos(query, pexels_api_key):
-    """Search for a video on Pexels by query and return a random HD video."""
-    headers = {'Authorization': pexels_api_key}
-    base_url = "https://api.pexels.com/videos/search"
-    num_pages = 3
-    videos_per_page = 15
-
-    max_retries = 3
-    retry_delay = 1
-
-    search_query = query
-    all_videos = []
-
-    for page in range(1, num_pages + 1):
-        for attempt in range(max_retries):
-            try:
-                params = {"query": search_query, "per_page": videos_per_page, "page": page}
-                response = requests.get(base_url, headers=headers, params=params, timeout=10)
-
-                if response.status_code == 200:
-                    data = response.json()
-                    videos = data.get("videos", [])
-
-                    if not videos:
-                        print(f"No videos found on page {page}.")
-                        break
-
-                    for video in videos:
-                        video_files = video.get("video_files", [])
-                        for file in video_files:
-                            if file.get("quality") == "hd":
-                                all_videos.append(file.get("link"))
-                                break
-
-                    break
-
-                elif response.status_code == 429:
-                    print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-                else:
-                    print(f"Error fetching videos: {response.status_code} {response.text}")
-                    if attempt < max_retries - 1:
-                        print(f"Retrying in {retry_delay} seconds...")
-                        time.sleep(retry_delay)
-                        retry_delay *= 2
-                    else:
-                        break
-
-            except requests.exceptions.RequestException as e:
-                print(f"Request exception: {e}")
-                if attempt < max_retries - 1:
-                    print(f"Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-                else:
-                    break
-
-    if all_videos:
-        random_video = random.choice(all_videos)
-        print(f"Selected random video from {len(all_videos)} HD videos")
-        return random_video
-    else:
-        print("No suitable videos found after searching all pages.")
-        return None
-
-def search_pexels_images(query, pexels_api_key):
-    """Search for an image on Pexels by query."""
-    headers = {'Authorization': pexels_api_key}
-    url = "https://api.pexels.com/v1/search"
-    params = {"query": query, "per_page": 5, "orientation": "landscape"}
-
-    max_retries = 3
-    retry_delay = 1
-
-    for attempt in range(max_retries):
-        try:
-            response = requests.get(url, headers=headers, params=params, timeout=10)
-
-            if response.status_code == 200:
-                data = response.json()
-                photos = data.get("photos", [])
-                if photos:
-                    photo = random.choice(photos[:min(5, len(photos))])
-                    img_url = photo.get("src", {}).get("original")
-                    return img_url
-                else:
-                    print(f"No images found for query: {query}")
-                    return None
-
-            elif response.status_code == 429:
-                print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
-                time.sleep(retry_delay)
-                retry_delay *= 2
-            else:
-                print(f"Error fetching images: {response.status_code} {response.text}")
-                if attempt < max_retries - 1:
-                    print(f"Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-
-        except requests.exceptions.RequestException as e:
-            print(f"Request exception: {e}")
-            if attempt < max_retries - 1:
-                print(f"Retrying in {retry_delay} seconds...")
-                time.sleep(retry_delay)
-                retry_delay *= 2
-
-    print(f"No Pexels images found for query: {query} after all attempts")
-    return None
-
-def search_google_images(query):
-    """Search for images on Google Images (for news-related queries)"""
-    try:
-        search_url = f"https://www.google.com/search?q={quote(query)}&tbm=isch"
-        headers = {"User-Agent": USER_AGENT}
-        response = requests.get(search_url, headers=headers, timeout=10)
-        soup = BeautifulSoup(response.text, "html.parser")
-
-        img_tags = soup.find_all("img")
-        image_urls = []
-        for img in img_tags:
-            src = img.get("src", "")
-            if src.startswith("http") and "gstatic" not in src:
-                image_urls.append(src)
-
-        if image_urls:
-            return random.choice(image_urls[:5]) if len(image_urls) >= 5 else image_urls[0]
-        else:
-            print(f"No Google Images found for query: {query}")
-            return None
-    except Exception as e:
-        print(f"Error in Google Images search: {e}")
-        return None
-
-def download_image(image_url, filename):
-    """Download an image from a URL to a local file with enhanced error handling."""
-    try:
-        headers = {"User-Agent": USER_AGENT}
-        print(f"Downloading image from: {image_url} to {filename}")
-        response = requests.get(image_url, headers=headers, stream=True, timeout=15)
-        response.raise_for_status()
-
-        with open(filename, 'wb') as f:
-            for chunk in response.iter_content(chunk_size=8192):
-                f.write(chunk)
-
-        print(f"Image downloaded successfully to: {filename}")
-
-        try:
-            img = Image.open(filename)
-            img.verify()
-            img = Image.open(filename)
-            if img.mode != 'RGB':
-                img = img.convert('RGB')
-                img.save(filename)
-            print(f"Image validated and processed: {filename}")
-            return filename
-        except Exception as e_validate:
-            print(f"Downloaded file is not a valid image: {e_validate}")
-            if os.path.exists(filename):
-                os.remove(filename)
-            return None
-
-    except requests.exceptions.RequestException as e_download:
-        print(f"Image download error: {e_download}")
-        if os.path.exists(filename):
-            os.remove(filename)
-        return None
-    except Exception as e_general:
-        print(f"General error during image processing: {e_general}")
-        if os.path.exists(filename):
-            os.remove(filename)
-        return None
-
-def download_video(video_url, filename):
-    """Download a video from a URL to a local file."""
-    try:
-        response = requests.get(video_url, stream=True, timeout=30)
-        response.raise_for_status()
-        with open(filename, 'wb') as f:
-            for chunk in response.iter_content(chunk_size=8192):
-                f.write(chunk)
-        print(f"Video downloaded successfully to: {filename}")
-        return filename
-    except Exception as e:
-        print(f"Video download error: {e}")
-        if os.path.exists(filename):
-            os.remove(filename)
-        return None
-
-def generate_media(prompt, user_image=None, current_index=0, total_segments=1):
-    """
-    Generate a visual asset by first searching for a video or using a specific search strategy.
-    For news-related queries, use Google Images.
-    Returns a dict: {'path': <file_path>, 'asset_type': 'video' or 'image'}.
-    """
-    safe_prompt = re.sub(r'[^\w\s-]', '', prompt).strip().replace(' ', '_')
-
-    if "news" in prompt.lower():
-        print(f"News-related query detected: {prompt}. Using Google Images...")
-        image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_news.jpg")
-        image_url = search_google_images(prompt)
-        if image_url:
-            downloaded_image = download_image(image_url, image_file)
-            if downloaded_image:
-                print(f"News image saved to {downloaded_image}")
-                return {"path": downloaded_image, "asset_type": "image"}
-        else:
-            print(f"Google Images search failed for prompt: {prompt}")
-
-    if random.random() < 0.25:
-        video_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_video.mp4")
-        video_url = search_pexels_videos(prompt, PEXELS_API_KEY)
-        if video_url:
-            downloaded_video = download_video(video_url, video_file)
-            if downloaded_video:
-                print(f"Video asset saved to {downloaded_video}")
-                return {"path": downloaded_video, "asset_type": "video"}
-        else:
-            print(f"Pexels video search failed for prompt: {prompt}")
-
-    image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}.jpg")
-    image_url = search_pexels_images(prompt, PEXELS_API_KEY)
-    if image_url:
-        downloaded_image = download_image(image_url, image_file)
-        if downloaded_image:
-            print(f"Image asset saved to {downloaded_image}")
-            return {"path": downloaded_image, "asset_type": "image"}
-        else:
-            print(f"Pexels image download failed for prompt: {prompt}")
-
-    fallback_terms = ["nature", "people", "landscape", "technology", "business"]
-    for term in fallback_terms:
-        print(f"Trying fallback image search with term: {term}")
-        fallback_file = os.path.join(TEMP_FOLDER, f"fallback_{term}.jpg")
-        fallback_url = search_pexels_images(term, PEXELS_API_KEY)
-        if fallback_url:
-            downloaded_fallback = download_image(fallback_url, fallback_file)
-            if downloaded_fallback:
-                print(f"Fallback image saved to {downloaded_fallback}")
-                return {"path": downloaded_fallback, "asset_type": "image"}
-            else:
-                print(f"Fallback image download failed for term: {term}")
-        else:
-            print(f"Fallback image search failed for term: {term}")
-
-    print(f"Failed to generate visual asset for prompt: {prompt}")
-    return None
-
-def generate_silent_audio(duration, sample_rate=24000):
-    """Generate a silent WAV audio file lasting 'duration' seconds."""
-    num_samples = int(duration * sample_rate)
-    silence = np.zeros(num_samples, dtype=np.float32)
-    silent_path = os.path.join(TEMP_FOLDER, f"silent_{int(time.time())}.wav")
-    sf.write(silent_path, silence, sample_rate)
-    print(f"Silent audio generated: {silent_path}")
-    return silent_path
-
-def generate_tts(text, voice):
-    """
-    Generate TTS audio using Kokoro, falling back to gTTS or silent audio if needed.
-    """
-    safe_text = re.sub(r'[^\w\s-]', '', text[:10]).strip().replace(' ', '_')
-    file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.wav")
-
-    if os.path.exists(file_path):
-        print(f"Using cached TTS for text '{text[:10]}...'")
-        return file_path
-
-    try:
-        kokoro_voice = 'af_heart' if voice == 'en' else voice
-        generator = pipeline(text, voice=kokoro_voice, speed=0.9, split_pattern=r'\n+')
-        audio_segments = []
-        for i, (gs, ps, audio) in enumerate(generator):
-            audio_segments.append(audio)
-        full_audio = np.concatenate(audio_segments) if len(audio_segments) > 1 else audio_segments[0]
-        sf.write(file_path, full_audio, 24000)
-        print(f"TTS audio saved to {file_path} (Kokoro)")
-        return file_path
-    except Exception as e:
-        print(f"Error with Kokoro TTS: {e}")
-        try:
-            print("Falling back to gTTS...")
-            tts = gTTS(text=text, lang='en')
-            mp3_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.mp3")
-            tts.save(mp3_path)
-            audio = AudioSegment.from_mp3(mp3_path)
-            audio.export(file_path, format="wav")
-            os.remove(mp3_path)
-            print(f"Fallback TTS saved to {file_path} (gTTS)")
-            return file_path
-        except Exception as fallback_error:
-            print(f"Both TTS methods failed: {fallback_error}")
-            return generate_silent_audio(duration=max(3, len(text.split()) * 0.5))
-
-def apply_kenburns_effect(clip, target_resolution, effect_type=None):
-    """Apply a smooth Ken Burns effect with a single movement pattern."""
-    target_w, target_h = target_resolution
-    clip_aspect = clip.w / clip.h
-    target_aspect = target_w / target_h
-
-    if clip_aspect > target_aspect:
-        new_height = target_h
-        new_width = int(new_height * clip_aspect)
-    else:
-        new_width = target_w
-        new_height = int(new_width / clip_aspect)
-
-    clip = clip.resize(newsize=(new_width, new_height))
-    base_scale = 1.15
-    new_width = int(new_width * base_scale)
-    new_height = int(new_height * base_scale)
-    clip = clip.resize(newsize=(new_width, new_height))
-
-    max_offset_x = new_width - target_w
-    max_offset_y = new_height - target_h
-
-    available_effects = ["zoom-in", "zoom-out", "pan-left", "pan-right", "up-left"]
-    if effect_type is None or effect_type == "random":
-        effect_type = random.choice(available_effects)
-
-    if effect_type == "zoom-in":
-        start_zoom = 0.9
-        end_zoom = 1.1
-        start_center = (new_width / 2, new_height / 2)
-        end_center = start_center
-    elif effect_type == "zoom-out":
-        start_zoom = 1.1
-        end_zoom = 0.9
-        start_center = (new_width / 2, new_height / 2)
-        end_center = start_center
-    elif effect_type == "pan-left":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
-        end_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
-    elif effect_type == "pan-right":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
-        end_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
-    elif effect_type == "up-left":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (max_offset_x + target_w / 2, max_offset_y + target_h / 2)
-        end_center = (target_w / 2, target_h / 2)
-    else:
-        raise ValueError(f"Unsupported effect_type: {effect_type}")
-
-    def transform_frame(get_frame, t):
-        frame = get_frame(t)
-        ratio = t / clip.duration if clip.duration > 0 else 0
-        ratio = 0.5 - 0.5 * math.cos(math.pi * ratio)
-        current_zoom = start_zoom + (end_zoom - start_zoom) * ratio
-        crop_w = int(target_w / current_zoom)
-        crop_h = int(target_h / current_zoom)
-        current_center_x = start_center[0] + (end_center[0] - start_center[0]) * ratio
-        current_center_y = start_center[1] + (end_center[1] - start_center[1]) * ratio
-        min_center_x = crop_w / 2
-        max_center_x = new_width - crop_w / 2
-        min_center_y = crop_h / 2
-        max_center_y = new_height - crop_h / 2
-        current_center_x = max(min_center_x, min(current_center_x, max_center_x))
-        current_center_y = max(min_center_y, min(current_center_y, max_center_y))
-        cropped_frame = cv2.getRectSubPix(frame, (crop_w, crop_h), (current_center_x, current_center_y))
-        resized_frame = cv2.resize(cropped_frame, (target_w, target_h), interpolation=cv2.INTER_LANCZOS4)
-        return resized_frame
-
-    return clip.fl(transform_frame)
-
-def resize_to_fill(clip, target_resolution):
-    """Resize and crop a clip to fill the target resolution while maintaining aspect ratio."""
-    target_w, target_h = target_resolution
-    clip_aspect = clip.w / clip.h
-    target_aspect = target_w / target_h
-
-    if clip_aspect > target_aspect:
-        clip = clip.resize(height=target_h)
-        crop_amount = (clip.w - target_w) / 2
-        clip = clip.crop(x1=crop_amount, x2=clip.w - crop_amount, y1=0, y2=clip.h)
-    else:
-        clip = clip.resize(width=target_w)
-        crop_amount = (clip.h - target_h) / 2
-        clip = clip.crop(x1=0, x2=clip.w, y1=crop_amount, y2=clip.h - crop_amount)
-
-    return clip
-
-def find_mp3_files():
-    """Search for any MP3 files in the current directory and subdirectories."""
-    mp3_files = []
-    for root, dirs, files in os.walk('.'):
-        for file in files:
-            if file.endswith('.mp3'):
-                mp3_path = os.path.join(root, file)
-                mp3_files.append(mp3_path)
-                print(f"Found MP3 file: {mp3_path}")
-    return mp3_files[0] if mp3_files else None
-
-def add_background_music(final_video, bg_music_volume=0.08):
-    """Add background music to the final video using any MP3 file found."""
-    try:
-        bg_music_path = find_mp3_files()
-        if bg_music_path and os.path.exists(bg_music_path):
-            print(f"Adding background music from: {bg_music_path}")
-            bg_music = AudioFileClip(bg_music_path)
-            if bg_music.duration < final_video.duration:
-                loops_needed = math.ceil(final_video.duration / bg_music.duration)
-                bg_segments = [bg_music] * loops_needed
-                bg_music = concatenate_audioclips(bg_segments)
-            bg_music = bg_music.subclip(0, final_video.duration)
-            bg_music = bg_music.volumex(bg_music_volume)
-            video_audio = final_video.audio
-            mixed_audio = CompositeAudioClip([video_audio, bg_music])
-            final_video = final_video.set_audio(mixed_audio)
-            print("Background music added successfully")
-        else:
-            print("No MP3 files found, skipping background music")
-        return final_video
-    except Exception as e:
-        print(f"Error adding background music: {e}")
-        print("Continuing without background music")
-        return final_video
-
-def create_clip(media_path, asset_type, tts_path, duration=None, effects=None, narration_text=None, segment_index=0):
-    """Create a video clip with synchronized subtitles and narration."""
-    try:
-        print(f"Creating clip #{segment_index} with asset_type: {asset_type}, media_path: {media_path}")
-        if not os.path.exists(media_path) or not os.path.exists(tts_path):
-            print("Missing media or TTS file")
-            return None
-
-        audio_clip = AudioFileClip(tts_path).audio_fadeout(0.2)
-        audio_duration = audio_clip.duration
-        target_duration = audio_duration + 0.2
-
-        if asset_type == "video":
-            clip = VideoFileClip(media_path)
-            clip = resize_to_fill(clip, TARGET_RESOLUTION)
-            if clip.duration < target_duration:
-                clip = clip.loop(duration=target_duration)
-            else:
-                clip = clip.subclip(0, target_duration)
-        elif asset_type == "image":
-            img = Image.open(media_path)
-            if img.mode != 'RGB':
-                with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp:
-                    img.convert('RGB').save(temp.name)
-                    media_path = temp.name
-                img.close()
-            clip = ImageClip(media_path).set_duration(target_duration)
-            clip = apply_kenburns_effect(clip, TARGET_RESOLUTION)
-            clip = clip.fadein(0.3).fadeout(0.3)
-        else:
-            return None
-
-        if narration_text and CAPTION_COLOR != "transparent":
-            try:
-                words = narration_text.split()
-                chunks = []
-                current_chunk = []
-                for word in words:
-                    current_chunk.append(word)
-                    if len(current_chunk) >= 5:
-                        chunks.append(' '.join(current_chunk))
-                        current_chunk = []
-                if current_chunk:
-                    chunks.append(' '.join(current_chunk))
-
-                chunk_duration = audio_duration / len(chunks)
-                subtitle_clips = []
-                subtitle_y_position = int(TARGET_RESOLUTION[1] * 0.70)
-
-                for i, chunk_text in enumerate(chunks):
-                    start_time = i * chunk_duration
-                    end_time = (i + 1) * chunk_duration
-                    txt_clip = TextClip(
-                        chunk_text,
-                        fontsize=45,
-                        font='Arial-Bold',
-                        color=CAPTION_COLOR,
-                        bg_color='rgba(0, 0, 0, 0.25)',
-                        method='caption',
-                        align='center',
-                        stroke_width=2,
-                        stroke_color=CAPTION_COLOR,
-                        size=(TARGET_RESOLUTION[0] * 0.8, None)
-                    ).set_start(start_time).set_end(end_time)
-                    txt_clip = txt_clip.set_position(('center', subtitle_y_position))
-                    subtitle_clips.append(txt_clip)
-
-                clip = CompositeVideoClip([clip] + subtitle_clips)
-            except Exception as sub_error:
-                print(f"Subtitle error: {sub_error}")
-                txt_clip = TextClip(
-                    narration_text,
-                    fontsize=28,
-                    color=CAPTION_COLOR,
-                    align='center',
-                    size=(TARGET_RESOLUTION[0] * 0.7, None)
-                ).set_position(('center', int(TARGET_RESOLUTION[1] / 3))).set_duration(clip.duration)
-                clip = CompositeVideoClip([clip, txt_clip])
-
-        clip = clip.set_audio(audio_clip)
-        print(f"Clip created: {clip.duration:.1f}s")
-        return clip
-    except Exception as e:
-        print(f"Error in create_clip: {str(e)}")
-        return None
-
-def fix_imagemagick_policy():
-    """Fix ImageMagick security policies."""
-    try:
-        print("Attempting to fix ImageMagick security policies...")
-        policy_paths = [
-            "/etc/ImageMagick-6/policy.xml",
-            "/etc/ImageMagick-7/policy.xml",
-            "/etc/ImageMagick/policy.xml",
-            "/usr/local/etc/ImageMagick-7/policy.xml"
-        ]
-        found_policy = next((path for path in policy_paths if os.path.exists(path)), None)
-        if not found_policy:
-            print("No policy.xml found. Using alternative subtitle method.")
-            return False
-        print(f"Modifying policy file at {found_policy}")
-        os.system(f"sudo cp {found_policy} {found_policy}.bak")
-        os.system(f"sudo sed -i 's/rights=\"none\"/rights=\"read|write\"/g' {found_policy}")
-        os.system(f"sudo sed -i 's/<policy domain=\"path\" pattern=\"@\*\"[^>]*>/<policy domain=\"path\" pattern=\"@*\" rights=\"read|write\"/g' {found_policy}")
-        os.system(f"sudo sed -i 's/<policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"[^>]*>/<!-- <policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"> -->/g' {found_policy}")
-        print("ImageMagick policies updated successfully.")
-        return True
-    except Exception as e:
-        print(f"Error fixing policies: {e}")
-        return False
-
-# ---------------- Main Function with Gradio Integration ---------------- #
-def generate_video(user_input, resolution, caption_option):
-    """Generate a video based on user input via Gradio."""
-    global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
-    import shutil
-
-    # Set resolution
-    if resolution == "Full":
-        TARGET_RESOLUTION = (1920, 1080)
-    elif resolution == "Short":
-        TARGET_RESOLUTION = (1080, 1920)
-    else:
-        TARGET_RESOLUTION = (1920, 1080)  # Default
-
-    # Set caption color
-    CAPTION_COLOR = "white" if caption_option == "Yes" else "transparent"
-
-    # Create a unique temporary folder
-    TEMP_FOLDER = tempfile.mkdtemp()
-
-    # Fix ImageMagick policy
-    fix_success = fix_imagemagick_policy()
-    if not fix_success:
-        print("Will use alternative methods if needed")
-
-    print("Generating script from API...")
-    script = generate_script(user_input)
-    if not script:
-        print("Failed to generate script.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-    print("Generated Script:\n", script)
-    elements = parse_script(script)
-    if not elements:
-        print("Failed to parse script into elements.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-    print(f"Parsed {len(elements)//2} script segments.")
-
-    paired_elements = []
-    for i in range(0, len(elements), 2):
-        if i + 1 < len(elements):
-            paired_elements.append((elements[i], elements[i + 1]))
-
-    if not paired_elements:
-        print("No valid script segments found.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-
-    clips = []
-    for idx, (media_elem, tts_elem) in enumerate(paired_elements):
-        print(f"\nProcessing segment {idx+1}/{len(paired_elements)} with prompt: '{media_elem['prompt']}'")
-        media_asset = generate_media(media_elem['prompt'], current_index=idx, total_segments=len(paired_elements))
-        if not media_asset:
-            print(f"Skipping segment {idx+1} due to missing media asset.")
-            continue
-        tts_path = generate_tts(tts_elem['text'], tts_elem['voice'])
-        if not tts_path:
-            print(f"Skipping segment {idx+1} due to TTS generation failure.")
-            continue
-        clip = create_clip(
-            media_path=media_asset['path'],
-            asset_type=media_asset['asset_type'],
-            tts_path=tts_path,
-            duration=tts_elem['duration'],
-            effects=media_elem.get('effects', 'fade-in'),
-            narration_text=tts_elem['text'],
-            segment_index=idx
-        )
-        if clip:
-            clips.append(clip)
-        else:
-            print(f"Clip creation failed for segment {idx+1}.")
-
-    if not clips:
-        print("No clips were successfully created.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-
-    print("\nConcatenating clips...")
-    final_video = concatenate_videoclips(clips, method="compose")
-    final_video = add_background_music(final_video, bg_music_volume=0.08)
-
-    print(f"Exporting final video to {OUTPUT_VIDEO_FILENAME}...")
-    final_video.write_videofile(OUTPUT_VIDEO_FILENAME, codec='libx264', fps=24, preset='veryfast')
-    print(f"Final video saved as {OUTPUT_VIDEO_FILENAME}")
-
-    # Clean up
-    print("Cleaning up temporary files...")
-    shutil.rmtree(TEMP_FOLDER)
-    print("Temporary files removed.")
-
-    return OUTPUT_VIDEO_FILENAME
-
-# ---------------- Gradio Interface ---------------- #
-iface = gr.Interface(
-    fn=generate_video,
-    inputs=[
-        gr.Textbox(label="Video Concept", placeholder="Enter your video concept here..."),
-        gr.Radio(["Full", "Short"], label="Resolution", value="Full"),
-        gr.Radio(["Yes", "No"], label="Captions", value="Yes")
-    ],
-    outputs=gr.Video(label="Generated Video"),
-    title="AI Documentary Video Generator",
-    description="Create a funny documentary-style video based on your concept. Note: Generation may take several minutes on CPU."
-)
-
-# Launch the interface
-iface.launch(share=True)
+try:
+    from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip
+except Exception as e:
+    print("⚠️ moviepy import failed:", e)
+    VideoFileClip = AudioFileClip = ImageClip = None