Update app.py
Browse files
app.py
CHANGED
@@ -1,190 +1,151 @@
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import os
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import time
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import tempfile
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import uuid
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import google.generativeai as genai
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import requests
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from flask import Flask, request, render_template, send_from_directory, url_for, flash
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from moviepy.video.io.VideoFileClip import VideoFileClip
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from moviepy.audio.io.AudioFileClip import AudioFileClip
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from werkzeug.utils import secure_filename
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from dotenv import load_dotenv
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#
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load_dotenv()
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app = Flask(__name__)
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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TTS_API_URL = os.getenv("TTS_API_URL")
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#
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os.makedirs(DOWNLOAD_FOLDER, exist_ok=True)
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app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
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app.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER
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app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024 # 100 MB upload limit
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app.secret_key = os.urandom(24) # Secure key for flash messages
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# --- 2. APPLICATION CONFIGURATION ---
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VOICE_CHOICES = {
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"
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"
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}
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GEMINI_PROMPT = """
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You are an AI scriptwriter. Your task is to watch the provided video and transcribe ALL spoken dialogue into a SINGLE, CONTINUOUS block of modern, colloquial Tamil.
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**CRITICAL INSTRUCTIONS:**
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3.
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**EXAMPLE OUTPUT:**
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Say happily: வணக்கம்! [laugh] எப்படி இருக்கீங்க? Whisper mysteriously: அந்த ரகசியம் எனக்கு மட்டும் தான் தெரியும்.
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"""
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# Wait for file processing
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while video_file.state.name == "PROCESSING":
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time.sleep(5)
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video_file = genai.get_file(video_file.name)
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if video_file.state.name != "ACTIVE":
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raise Exception(f"Gemini file processing failed: {video_file.state.name}")
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print("Generating script...")
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model = genai.GenerativeModel(model_name="models/gemini-2.5-flash")
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response = model.generate_content([GEMINI_PROMPT, video_file])
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genai.delete_file(video_file.name)
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if hasattr(response, 'text') and response.text:
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return " ".join(response.text.strip().splitlines())
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raise Exception("No valid script was generated by Gemini.")
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def generate_audio_track(script_text, voice_name, is_cheerful, output_path):
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"""Generates audio from script using TTS API."""
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print(f"Generating audio (Voice: {voice_name}, Cheerful: {is_cheerful})")
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payload = {
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"text": script_text,
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"voice_name": voice_name,
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"cheerful": is_cheerful
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}
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response = requests.post(TTS_API_URL, json=payload, timeout=300)
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if response.status_code == 200:
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with open(output_path, "wb") as f:
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f.write(response.content)
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return True
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raise Exception(f"TTS API Error: {response.status_code} - {response.text}")
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def replace_video_audio(video_path, new_audio_path, output_path):
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"""Replaces the audio track of a video file."""
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print("Replacing video audio...")
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video_clip = None
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audio_clip = None
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try:
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logger='bar'
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)
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finally:
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if audio_clip:
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audio_clip.close()
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if video_clip:
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video_clip.close()
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# --- 4. FLASK ROUTES ---
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def process_video():
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"""Handle video upload and processing."""
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input_video_path = None
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temp_audio_path = None
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try:
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if 'video' not in request.files or request.files['video'].filename == '':
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flash("Please upload a video file.", "error")
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return render_template('index.html', voices=VOICE_CHOICES)
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filename = secure_filename(file.filename)
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input_video_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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file.save(input_video_path)
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is_cheerful = request.form.get('tone') == 'on'
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#
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replace_video_audio(input_video_path, temp_audio_path, final_video_path)
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)
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except Exception as e:
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if temp_audio_path and os.path.exists(temp_audio_path):
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os.remove(temp_audio_path)
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@app.route('/downloads/<filename>')
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def serve_video(filename):
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"""Serve the processed video file."""
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return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename)
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# --- 5. APPLICATION ENTRY POINT ---
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if __name__ == '__main__':
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app.run(host="0.0.0.0", port=7860)
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import os
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import tempfile
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import uuid
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from fastapi import FastAPI, UploadFile, File, Form, HTTPException
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from fastapi.responses import FileResponse
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from fastapi.staticfiles import StaticFiles
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from moviepy.editor import VideoFileClip, AudioFileClip
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import google.generativeai as genai
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import requests
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from dotenv import load_dotenv
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from pathlib import Path
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# Load environment variables
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load_dotenv()
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app = FastAPI()
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# Configure directories
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UPLOAD_DIR = "uploads"
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DOWNLOAD_DIR = "downloads"
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Path(UPLOAD_DIR).mkdir(exist_ok=True)
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Path(DOWNLOAD_DIR).mkdir(exist_ok=True)
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# Mount static files
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app.mount("/downloads", StaticFiles(directory="downloads"), name="downloads")
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# Configuration
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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TTS_API_URL = os.getenv("TTS_API_URL")
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genai.configure(api_key=GEMINI_API_KEY)
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VOICE_CHOICES = {
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"male": "Charon",
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"female": "Zephyr"
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}
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GEMINI_PROMPT = """
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You are an expert AI scriptwriter. Your task is to watch the provided video and transcribe ALL spoken dialogue into a SINGLE, CONTINUOUS block of modern, colloquial Tamil.
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**CRITICAL INSTRUCTIONS:**
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1. Combine all dialogue into one continuous script.
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2. NO timestamps or speaker labels.
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3. Add performance cues (e.g., [laugh], [sigh]) and directions (e.g., "Say happily:").
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"""
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@app.post("/process")
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async def process_video(
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file: UploadFile = File(...),
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voice: str = Form("male"),
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cheerful: bool = Form(False)
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):
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try:
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# Save uploaded file
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file_ext = Path(file.filename).suffix
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file_name = f"{uuid.uuid4()}{file_ext}"
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file_path = os.path.join(UPLOAD_DIR, file_name)
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with open(file_path, "wb") as buffer:
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buffer.write(await file.read())
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# Generate script using Gemini
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script = await generate_script(file_path)
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# Generate audio
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audio_path = os.path.join(UPLOAD_DIR, f"audio_{uuid.uuid4()}.wav")
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await generate_audio(script, voice, cheerful, audio_path)
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# Create dubbed video
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output_name = f"dubbed_{file_name}"
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output_path = os.path.join(DOWNLOAD_DIR, output_name)
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await create_dubbed_video(file_path, audio_path, output_path)
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# Cleanup
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os.remove(file_path)
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os.remove(audio_path)
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return {
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"video_url": f"/downloads/{output_name}",
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"script": script
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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async def generate_script(video_path: str) -> str:
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try:
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video_file = genai.upload_file(video_path, mime_type="video/mp4")
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while video_file.state.name == "PROCESSING":
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video_file = genai.get_file(video_file.name)
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if video_file.state.name != "ACTIVE":
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raise Exception("Gemini processing failed")
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model = genai.GenerativeModel("models/gemini-1.5-pro-latest")
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response = model.generate_content([GEMINI_PROMPT, video_file])
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genai.delete_file(video_file.name)
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if hasattr(response, 'text'):
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return " ".join(response.text.strip().splitlines())
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raise Exception("No script generated")
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except Exception as e:
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raise Exception(f"Script generation failed: {str(e)}")
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async def generate_audio(text: str, voice: str, cheerful: bool, output_path: str):
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try:
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voice_name = VOICE_CHOICES.get(voice, "Charon")
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payload = {
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"text": text,
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"voice_name": voice_name,
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"cheerful": cheerful
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}
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response = requests.post(TTS_API_URL, json=payload, timeout=300)
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if response.status_code != 200:
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raise Exception(f"TTS API error: {response.text}")
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with open(output_path, "wb") as f:
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f.write(response.content)
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except Exception as e:
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raise Exception(f"Audio generation failed: {str(e)}")
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async def create_dubbed_video(video_path: str, audio_path: str, output_path: str):
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try:
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video = VideoFileClip(video_path)
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audio = AudioFileClip(audio_path)
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# Ensure audio matches video duration
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if audio.duration > video.duration:
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audio = audio.subclip(0, video.duration)
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video = video.set_audio(audio)
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video.write_videofile(
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output_path,
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codec="libx264",
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audio_codec="aac",
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threads=4,
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preset="fast"
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video.close()
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audio.close()
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except Exception as e:
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raise Exception(f"Video processing failed: {str(e)}")
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@app.get("/downloads/{file_name}")
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async def download_file(file_name: str):
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file_path = os.path.join(DOWNLOAD_DIR, file_name)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=404, detail="File not found")
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return FileResponse(file_path)
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