Update app.py

app.py

@@ -1584,20 +1584,23 @@ def process_audio(audio_input, text_input):
 
 def process_audio_for_video(video_input):
     if video_input:
-        transcription = client.audio.transcriptions.create(
-            model="whisper-1",
-            file=video_input,
-        )
-        response = client.chat.completions.create(
-            model=MODEL,
-            messages=[
-            {"role": "system", "content":"""You are generating a transcript summary. Create a summary of the provided transcription. Respond in Markdown."""},
-            {"role": "user", "content": [{"type": "text", "text": f"The audio transcription is: {transcription}"}],}
-            ],
-            temperature=0,
-        )
-        st.markdown(response.choices[0].message.content)
-        return response.choices[0].message.content
+        try:
+            transcription = client.audio.transcriptions.create(
+                model="whisper-1",
+                file=video_input,
+            )
+            response = client.chat.completions.create(
+                model=MODEL,
+                messages=[
+                {"role": "system", "content":"""You are generating a transcript summary. Create a summary of the provided transcription. Respond in Markdown."""},
+                {"role": "user", "content": [{"type": "text", "text": f"The audio transcription is: {transcription}"}],}
+                ],
+                temperature=0,
+            )
+            st.markdown(response.choices[0].message.content)
+            return response.choices[0].message.content
+        except:
+            st.write('No transcript')
 
 def save_video(video_file):
     # Save the uploaded video file
@@ -1628,14 +1631,16 @@ def process_video(video_path, seconds_per_frame=2):
 
     # Extract audio from video
     audio_path = f"{base_video_path}.mp3"
-    clip = VideoFileClip(video_path)
     try:
+        clip = VideoFileClip(video_path)
+    
         clip.audio.write_audiofile(audio_path, bitrate="32k")
         clip.audio.close()
+        
+        clip.close()
     except:
         st.write('No audio track found, moving on..')
     
-    clip.close()
 
     print(f"Extracted {len(base64Frames)} frames")
     print(f"Extracted audio to {audio_path}")
@@ -1670,8 +1675,9 @@ def process_audio_and_video(video_input):
         results = response.choices[0].message.content
         st.markdown(results) 
         
-        filename = generate_filename(transcript, "md")
-        create_file(filename, transcript, results, should_save)
+        if transcript:
+            filename = generate_filename(transcript, "md")
+            create_file(filename, transcript, results, should_save)