Update app.py

app.py

@@ -9,10 +9,13 @@ from moviepy.video.io.VideoFileClip import VideoFileClip
 from moviepy.audio.io.AudioFileClip import AudioFileClip
 from werkzeug.utils import secure_filename
 from dotenv import load_dotenv
+import threading
+from datetime import datetime, timedelta
+import logging
 
-# Initialize Flask app
+# Initialize Flask app and load secrets
 load_dotenv()
-app = Flask(__name__, template_folder='templates', static_folder='static')
+app = Flask(__name__)
 
 # Configuration
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
@@ -30,9 +33,18 @@ os.makedirs(UPLOAD_FOLDER, exist_ok=True)
 os.makedirs(DOWNLOAD_FOLDER, exist_ok=True)
 app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
 app.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER
-app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024  # 100MB
+app.config['MAX_CONTENT_LENGTH'] = 500 * 1024 * 1024  # 500MB
 app.secret_key = os.urandom(24)
 
+# Processing status tracking
+processing_status = {}
+processing_times = {
+    'upload': 0,
+    'transcription': 0,
+    'tts': 0,
+    'dubbing': 0
+}
+
 # Voice options
 VOICE_CHOICES = {
     "Male (Charon)": "Charon",
@@ -51,72 +63,223 @@ You are an expert AI scriptwriter. Your task is to watch the provided video and
 Say happily: வணக்கம்! [laugh] எப்படி இருக்கீங்க? Whisper mysteriously: அந்த ரகசியம் எனக்கு மட்டும் தான் தெரியும்.
 """
 
-def generate_tamil_script(video_path):
-    """Generate Tamil script using Gemini"""
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+def track_processing_time(task_id, stage, duration):
+    """Track processing times for each stage"""
+    processing_times[stage] = duration
+    if task_id in processing_status:
+        processing_status[task_id]['timings'][stage] = duration
+
+def estimate_remaining_time(task_id):
+    """Estimate remaining processing time"""
+    if task_id not in processing_status:
+        return "Calculating..."
+    
+    status = processing_status[task_id]
+    completed_stages = [s for s in status['timings'] if status['timings'][s] is not None]
+    
+    if len(completed_stages) == 0:
+        return "Starting soon..."
+    
+    # Weighted average based on stage complexity
+    weights = {
+        'transcription': 2.0,
+        'tts': 1.5,
+        'dubbing': 1.0
+    }
+    
+    total_weighted_time = 0
+    total_weights = 0
+    
+    for stage in completed_stages:
+        weight = weights.get(stage, 1.0)
+        total_weighted_time += status['timings'][stage] * weight
+        total_weights += weight
+    
+    if total_weights == 0:
+        return "Estimating..."
+    
+    avg_time = total_weighted_time / total_weights
+    remaining_stages = 4 - len(completed_stages)
+    return remaining_stages * avg_time
+
+def process_video_background(task_id, video_path, voice, cheerful):
+    """Background processing function with enhanced logging"""
     try:
-        print("Uploading video to Gemini...")
-        video_file = genai.upload_file(video_path, mime_type="video/mp4")
-        
-        # Wait for processing
-        while video_file.state.name == "PROCESSING":
-            time.sleep(5)
-            video_file = genai.get_file(video_file.name)
-        
-        if video_file.state.name != "ACTIVE":
-            raise Exception(f"Gemini processing failed: {video_file.state.name}")
+        start_time = time.time()
+        processing_status[task_id] = {
+            'status': 'processing',
+            'progress': 0,
+            'message': 'Starting transcription',
+            'timings': {'upload': None, 'transcription': None, 'tts': None, 'dubbing': None},
+            'start_time': start_time,
+            'video_duration': get_video_duration(video_path)
+        }
+
+        # Stage 1: Transcription
+        processing_status[task_id]['message'] = 'Transcribing video content'
+        logger.info(f"Task {task_id}: Starting transcription")
+        script_start = time.time()
+        script = generate_tamil_script(video_path)
+        transcription_time = time.time() - script_start
+        track_processing_time(task_id, 'transcription', transcription_time)
+        processing_status[task_id]['progress'] = 25
+        processing_status[task_id]['script'] = script
+        logger.info(f"Task {task_id}: Transcription completed in {transcription_time:.1f}s")
+
+        # Stage 2: TTS Generation
+        processing_status[task_id]['message'] = 'Generating audio narration'
+        logger.info(f"Task {task_id}: Starting TTS generation")
+        with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_audio:
+            audio_path = temp_audio.name
         
-        print("Generating script...")
-        model = genai.GenerativeModel(model_name="models/gemini-2.5-flash")
-        response = model.generate_content([GEMINI_PROMPT, video_file])
-        genai.delete_file(video_file.name)
+        tts_start = time.time()
+        generate_audio_track(script, voice, cheerful, audio_path)
+        tts_time = time.time() - tts_start
+        track_processing_time(task_id, 'tts', tts_time)
+        processing_status[task_id]['progress'] = 50
+        logger.info(f"Task {task_id}: TTS completed in {tts_time:.1f}s")
+
+        # Stage 3: Dubbing
+        processing_status[task_id]['message'] = 'Creating dubbed video'
+        logger.info(f"Task {task_id}: Starting dubbing")
+        final_filename = f"dubbed_{task_id}.mp4"
+        final_path = os.path.join(app.config['DOWNLOAD_FOLDER'], final_filename)
         
-        if hasattr(response, 'text') and response.text:
-            return " ".join(response.text.strip().splitlines())
-        raise Exception("No valid script generated")
+        dubbing_start = time.time()
+        replace_video_audio(video_path, audio_path, final_path)
+        dubbing_time = time.time() - dubbing_start
+        track_processing_time(task_id, 'dubbing', dubbing_time)
+        processing_status[task_id]['progress'] = 75
+        logger.info(f"Task {task_id}: Dubbing completed in {dubbing_time:.1f}s")
+
+        # Cleanup
+        os.unlink(audio_path)
+
+        # Finalize
+        processing_status[task_id].update({
+            'status': 'complete',
+            'progress': 100,
+            'message': 'Processing complete',
+            'result_path': final_path,
+            'end_time': time.time()
+        })
+        logger.info(f"Task {task_id}: Processing completed successfully")
+
     except Exception as e:
-        print(f"Script generation failed: {str(e)}")
-        raise
+        logger.error(f"Task {task_id} failed: {str(e)}")
+        processing_status[task_id].update({
+            'status': 'error',
+            'message': f'Error: {str(e)}'
+        })
+        # Cleanup temporary files
+        if 'video_path' in locals() and os.path.exists(video_path):
+            os.unlink(video_path)
+        if 'audio_path' in locals() and os.path.exists(audio_path):
+            os.unlink(audio_path)
 
-def generate_audio_track(text, voice, cheerful, output_path):
-    """Generate audio using TTS API"""
+def get_video_duration(video_path):
+    """Get duration of video in seconds"""
     try:
-        print("Generating audio track...")
-        payload = {
-            "text": text,
-            "voice_name": voice,
-            "cheerful": cheerful
-        }
+        with VideoFileClip(video_path) as video:
+            return video.duration
+    except:
+        return 0
+
+def generate_tamil_script(video_path):
+    """Generate Tamil script using Gemini with retry logic"""
+    max_retries = 3
+    retry_delay = 10  # seconds
+    
+    for attempt in range(max_retries):
+        try:
+            video_file = genai.upload_file(video_path, mime_type="video/mp4")
+            
+            # Wait for file processing with timeout
+            start_wait = time.time()
+            while video_file.state.name == "PROCESSING":
+                if time.time() - start_wait > 300:  # 5 minutes timeout
+                    raise TimeoutError("Gemini processing timed out")
+                time.sleep(5)
+                video_file = genai.get_file(video_file.name)
+            
+            if video_file.state.name != "ACTIVE":
+                raise Exception(f"Gemini processing failed: {video_file.state.name}")
+            
+            model = genai.GenerativeModel(model_name="models/gemini-2.5-flash")
+            response = model.generate_content([GEMINI_PROMPT, video_file])
+            genai.delete_file(video_file.name)
+            
+            if hasattr(response, 'text') and response.text:
+                return " ".join(response.text.strip().splitlines())
+            raise Exception("No valid script generated")
         
-        response = requests.post(TTS_API_URL, json=payload, timeout=300)
-        if response.status_code != 200:
-            raise Exception(f"TTS API error: {response.status_code}")
+        except Exception as e:
+            if attempt < max_retries - 1:
+                logger.warning(f"Gemini error (attempt {attempt+1}/{max_retries}): {str(e)}")
+                time.sleep(retry_delay * (attempt + 1))
+            else:
+                raise
+
+def generate_audio_track(text, voice, cheerful, output_path):
+    """Generate audio using TTS API with retry logic"""
+    max_retries = 3
+    retry_delay = 5  # seconds
+    
+    for attempt in range(max_retries):
+        try:
+            payload = {
+                "text": text,
+                "voice_name": voice,
+                "cheerful": cheerful
+            }
+            
+            response = requests.post(TTS_API_URL, json=payload, timeout=300)
+            if response.status_code != 200:
+                raise Exception(f"TTS API error: {response.status_code} - {response.text}")
+            
+            with open(output_path, "wb") as f:
+                f.write(response.content)
+            return
         
-        with open(output_path, "wb") as f:
-            f.write(response.content)
-        print("Audio track generated successfully")
-    except Exception as e:
-        print(f"Audio generation failed: {str(e)}")
-        raise
+        except Exception as e:
+            if attempt < max_retries - 1:
+                logger.warning(f"TTS error (attempt {attempt+1}/{max_retries}): {str(e)}")
+                time.sleep(retry_delay * (attempt + 1))
+            else:
+                raise
 
 def replace_video_audio(video_path, audio_path, output_path):
-    """Replace video audio track"""
+    """Replace video audio track with enhanced error handling"""
     video = None
     audio = None
     try:
-        print("Replacing audio track...")
+        # Open video and audio files
         video = VideoFileClip(video_path)
         audio = AudioFileClip(audio_path)
+        
+        # Set video audio
         video.audio = audio
+        
+        # Write output with optimized settings
         video.write_videofile(
             output_path,
             codec="libx264",
             audio_codec="aac",
+            logger=None,
             threads=4,
-            verbose=False
+            preset='medium',
+            ffmpeg_params=['-crf', '23', '-movflags', '+faststart']
         )
-        print("Video processing complete!")
+        
     except Exception as e:
-        print(f"Video processing failed: {str(e)}")
+        logger.error(f"Video processing error: {str(e)}")
+        # Cleanup partially created file
+        if os.path.exists(output_path):
+            os.unlink(output_path)
         raise
     finally:
         if video:
@@ -129,65 +292,118 @@ def index():
     """Main page"""
     return render_template('index.html', voices=VOICE_CHOICES)
 
-@app.route('/process', methods=['POST'])
-def process_video():
-    """Handle video processing"""
+@app.route('/upload', methods=['POST'])
+def upload_video():
+    """Handle video upload and start processing"""
     if 'video' not in request.files:
-        flash("No video file uploaded", "error")
-        return render_template('index.html', voices=VOICE_CHOICES)
+        return jsonify({'error': 'No file uploaded'}), 400
     
     file = request.files['video']
     if file.filename == '':
-        flash("No file selected", "error")
-        return render_template('index.html', voices=VOICE_CHOICES)
+        return jsonify({'error': 'No file selected'}), 400
     
-    # Save uploaded file
-    filename = secure_filename(f"{uuid.uuid4()}_{file.filename}")
+    # Generate unique task ID
+    task_id = str(uuid.uuid4())
+    filename = secure_filename(f"{task_id}_{file.filename}")
     video_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
     file.save(video_path)
     
     # Get processing options
     voice = request.form.get('voice', 'Charon')
-    cheerful = request.form.get('cheerful') == 'on'
+    cheerful = request.form.get('cheerful', 'false') == 'true'
     
-    try:
-        # Generate script
-        script = generate_tamil_script(video_path)
-        
-        # Generate audio
-        with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_audio:
-            audio_path = temp_audio.name
-        
-        generate_audio_track(script, voice, cheerful, audio_path)
-        
-        # Create dubbed video
-        final_filename = f"dubbed_{filename}"
-        final_path = os.path.join(app.config['DOWNLOAD_FOLDER'], final_filename)
-        replace_video_audio(video_path, audio_path, final_path)
-        
-        # Cleanup
-        os.unlink(audio_path)
-        os.unlink(video_path)
-        
-        return jsonify({
-            'status': 'success',
-            'video_url': url_for('download', filename=final_filename),
-            'script': script
-        })
-        
-    except Exception as e:
-        # Cleanup on error
-        if os.path.exists(video_path):
-            os.unlink(video_path)
-        return jsonify({
-            'status': 'error',
-            'message': str(e)
-        }), 500
+    # Start background processing
+    processing_status[task_id] = {
+        'status': 'uploaded',
+        'progress': 0,
+        'message': 'Starting processing',
+        'timings': {'upload': time.time(), 'transcription': None, 'tts': None, 'dubbing': None},
+        'start_time': time.time(),
+        'video_duration': get_video_duration(video_path)
+    }
+    
+    thread = threading.Thread(
+        target=process_video_background,
+        args=(task_id, video_path, voice, cheerful)
+    )
+    thread.start()
+    
+    return jsonify({
+        'task_id': task_id,
+        'video_duration': processing_status[task_id]['video_duration']
+    })
+
+@app.route('/status/<task_id>')
+def get_status(task_id):
+    """Check processing status"""
+    if task_id not in processing_status:
+        return jsonify({'error': 'Invalid task ID'}), 404
+    
+    status = processing_status[task_id]
+    
+    # Calculate ETA if processing
+    eta = None
+    if status['status'] == 'processing':
+        elapsed = time.time() - status['start_time']
+        remaining = estimate_remaining_time(task_id)
+        if isinstance(remaining, (int, float)):
+            eta = str(timedelta(seconds=int(remaining)))
+    
+    response = {
+        'status': status['status'],
+        'progress': status.get('progress', 0),
+        'message': status.get('message', ''),
+        'eta': eta
+    }
+    
+    if status['status'] == 'complete':
+        response['result_url'] = url_for('download', filename=os.path.basename(status['result_path']))
+        response['script'] = status.get('script', '')
+    
+    return jsonify(response)
 
 @app.route('/download/<filename>')
 def download(filename):
     """Serve processed video"""
     return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename)
 
+@app.route('/cleanup', methods=['POST'])
+def cleanup():
+    """Cleanup old files"""
+    try:
+        # Cleanup uploads older than 1 hour
+        for filename in os.listdir(UPLOAD_FOLDER):
+            file_path = os.path.join(UPLOAD_FOLDER, filename)
+            if os.path.getmtime(file_path) < time.time() - 3600:
+                os.unlink(file_path)
+        
+        # Cleanup downloads older than 24 hours
+        for filename in os.listdir(DOWNLOAD_FOLDER):
+            file_path = os.path.join(DOWNLOAD_FOLDER, filename)
+            if os.path.getmtime(file_path) < time.time() - 86400:
+                os.unlink(file_path)
+                
+        return jsonify({'status': 'success', 'message': 'Cleanup completed'})
+    except Exception as e:
+        return jsonify({'status': 'error', 'message': str(e)}), 500
+
 if __name__ == '__main__':
-    app.run(host="0.0.0.0", port=7860)
+    # Schedule cleanup thread
+    import schedule
+    import time as t
+    def cleanup_job():
+        with app.app_context():
+            app.test_client().post('/cleanup')
+    
+    schedule.every().hour.do(cleanup_job)
+    
+    # Start scheduler in background thread
+    def scheduler_thread():
+        while True:
+            schedule.run_pending()
+            t.sleep(1)
+    
+    threading.Thread(target=scheduler_thread, daemon=True).start()
+    
+    # Start Flask app
+    app.run(host="0.0.0.0", port=7860, threaded=True)