Update app.py

app.py

@@ -4,6 +4,88 @@ from moviepy.editor import VideoFileClip
 import whisper
 
 app = Flask(__name__)
+from flask import Flask, request, render_template, redirect, url_for
+import os
+from moviepy.editor import VideoFileClip
+import whisper
+
+app = Flask(__name__)
+
+# Set ffmpeg path for the Docker container environment
+ffmpeg_path = r'/usr/bin/ffmpeg'
+if not os.path.isdir(ffmpeg_path):
+    raise FileNotFoundError(f"FFmpeg directory not found: {ffmpeg_path}")
+os.environ['PATH'] += os.pathsep + ffmpeg_path
+
+# Load the Whisper model
+model = whisper.load_model("medium")  # Change to "large" for the most accurate model
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/upload', methods=['POST'])
+def upload_video():
+    if 'video' not in request.files:
+        return redirect(url_for('index'))
+
+    video_file = request.files['video']
+    if video_file.filename == '':
+        return redirect(url_for('index'))
+
+    # Save the video file
+    video_path = os.path.join('uploads', video_file.filename)
+    video_file.save(video_path)
+
+    print(f"Video saved to {video_path}")
+
+    # Extract audio from the video
+    try:
+        audio_path = extract_audio(video_path)
+        print(f"Audio extracted to {audio_path}")
+        if not os.path.exists(audio_path):
+            return f"Error: Audio file not found at {audio_path}"
+    except Exception as e:
+        return f"Error extracting audio: {e}"
+
+    # Transcribe the audio
+    try:
+        transcript = transcribe_audio(audio_path)
+    except Exception as e:
+        return f"Error transcribing audio: {e}"
+
+    return render_template('result.html', transcript=transcript)
+
+def extract_audio(video_path):
+    audio_path = os.path.splitext(video_path)[0] + ".wav"
+    video = VideoFileClip(video_path)
+    video.audio.write_audiofile(audio_path)
+    return audio_path
+
+def transcribe_audio(audio_path):
+    print(f"Transcribing audio from: {audio_path}")
+    if not os.path.exists(audio_path):
+        raise FileNotFoundError(f"Audio file not found at {audio_path}")
+
+    try:
+        os.system("ffmpeg -version")
+        print("FFmpeg is available")
+    except Exception as e:
+        print(f"FFmpeg is not available: {e}")
+        raise
+
+    try:
+        result = model.transcribe(audio_path)
+        print(f"Transcription result: {result}")
+        return result["text"]
+    except Exception as e:
+        print(f"Error during transcription: {e}")
+        raise
+
+if __name__ == '__main__':
+    if not os.path.exists('uploads'):
+        os.makedirs('uploads')
+    app.run(debug=True)
 
 # Add ffmpeg to the PATH
 ffmpeg_path = r'/usr/bin/ffmpeg'  # Path for ffmpeg in the Docker container