Update app.py

app.py

@@ -15,36 +15,30 @@ def extract_audio(video_path):
         return str(e)
 
 def transcribe_audio_to_srt(audio_path, srt_file="out_put.srt"):
-
-
     model = whisper.load_model("base.en")
     result = model.transcribe(audio_path)
     # Create a list to hold subtitle entries
     subtitles = []
     start_time = 0.0
-
     for i, segment in enumerate(result['segments']):
         start_time = segment['start']
         end_time = segment['end']
         content = segment['text'].strip()
-
         # Create a subtitle entry
         subtitle = srt.Subtitle(index=i+1,
                                 start=timedelta(seconds=start_time),
                                 end=timedelta(seconds=end_time),
                                 content=content)
         subtitles.append(subtitle)
-
     # Write the subtitles to an SRT file
     with open(srt_file, 'w', encoding='utf-8') as f:
         f.write(srt.compose(subtitles))
     return srt_file
 
 def process_video(video):
-    video_path = os.path.join("uploads", video.name)
-    video.save(video_path)
+    video_path = video
     audio_path = extract_audio(video_path)
-    processed_audio_path = process_audio(audio_path)
+    processed_audio_path = transcribe_audio_to_srt(audio_path)
     with open(processed_audio_path, "r") as f:
         srt_content = f.read()
     return srt_content
@@ -55,5 +49,7 @@ iface = gr.Interface(
     outputs=gr.Textbox(label="Generated SRT File Content"),
     title="Extract and Process Audio from Video",
     description="Upload a video file to extract and process the audio, and view the generated SRT file content.",
-    allow_flagging="never")
+    allow_flagging="never"
+)
+
 iface.launch()