Update app.py

app.py

@@ -19,26 +19,25 @@ model = load_model()
 def extract_audio(video_path):
     """Optimized audio extraction for CPU"""
     audio_path = tempfile.mktemp(suffix=".wav")
+    # Fixed ffmpeg command syntax
     (
         ffmpeg
         .input(video_path)
         .output(audio_path, ac=1, ar=16000, acodec='pcm_s16le')
         .overwrite_output()
-        .run(quiet=True, cmd="ffmpeg")
+        .run(quiet=True)
+    )
     return audio_path
 
-def transcribe_video(video_file):
+def transcribe_video(video_file_path):
     """Process video and return transcript"""
     start_time = time.time()
     
-    # Create temp video file
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_video:
-        tmp_video.write(video_file)
-        video_path = tmp_video.name
+    # Get file size
+    file_size = os.path.getsize(video_file_path) / (1024 * 1024)  # in MB
     
     # Extract audio
-    audio_path = extract_audio(video_path)
-    os.unlink(video_path)  # Clean up video
+    audio_path = extract_audio(video_file_path)
     
     # Transcribe
     result = model(audio_path)
@@ -48,9 +47,6 @@ def transcribe_video(video_file):
     os.unlink(audio_path)
     process_time = time.time() - start_time
     
-    # Get file size
-    file_size = len(video_file) / (1024 * 1024)  # in MB
-    
     return transcript, f"✅ Processed {file_size:.1f}MB video in {process_time:.1f} seconds"
 
 # Gradio interface
@@ -60,7 +56,7 @@ with gr.Blocks(title="Free Video Transcriber", theme=gr.themes.Soft()) as demo:
     
     with gr.Row():
         with gr.Column():
-            video_input = gr.Video(label="Upload Video", sources=["upload"])
+            video_input = gr.Video(label="Upload Video", sources=["upload"], type="filepath")
             transcribe_btn = gr.Button("Transcribe Video", variant="primary")
             
         with gr.Column():
@@ -69,16 +65,12 @@ with gr.Blocks(title="Free Video Transcriber", theme=gr.themes.Soft()) as demo:
             download_btn = gr.DownloadButton(label="Download Transcript")
     
     # Processing function
-    def process_video(video):
-        if video is None:
-            return "", "Please upload a video file first"
-        
-        # Get video bytes
-        with open(video, "rb") as f:
-            video_bytes = f.read()
+    def process_video(video_path):
+        if video_path is None:
+            return "", "Please upload a video file first", None
         
-        transcript, status = transcribe_video(video_bytes)
-        return transcript, status, gr.update(value=transcript, visible=True)
+        transcript, status = transcribe_video(video_path)
+        return transcript, status, transcript
     
     # Set up button actions
     transcribe_btn.click(