Update app.py

app.py

@@ -249,79 +249,81 @@ def process_media(file_path, is_url=False):
 
 @app.callback(
     [Output('summary-status', 'children'),
+     Output('minutes-status', 'children'),
      Output('download-transcription', 'data')],
-    Input('btn-summarize', 'n_clicks'),
+    [Input('btn-summarize', 'n_clicks'),
+     Input('btn-minutes', 'n_clicks'),
+     Input('btn-download', 'n_clicks')],
     State('transcription-preview', 'children'),
     prevent_initial_call=True
 )
-def summarize_transcript(n_clicks, transcript):
-    if n_clicks is None or not transcript:
-        return "", None
+def handle_document_actions(summarize_clicks, minutes_clicks, download_clicks, transcript):
+    ctx = dash.callback_context
+    if not ctx.triggered:
+        return "", "", None
     
-    summary_prompt = f"""
-    Please provide a detailed summary of the following transcript. Include the main topics discussed and key points. Format it for readability:
-
-    {transcript}
-
-    Summary:
-    """
-
-    try:
-        summary_response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are an AI assistant skilled in summarizing conversations."},
-                {"role": "user", "content": summary_prompt}
-            ]
-        )
+    button_id = ctx.triggered[0]['prop_id'].split('.')[0]
+    
+    if button_id == 'btn-summarize':
+        summary_prompt = f"""
+        Please provide a detailed summary of the following transcript. Include the main topics discussed and key points. Format it for readability:
 
-        summary = summary_response['choices'][0]['message']['content']
-        return "", dcc.send_string(summary, "transcript_summary.txt")
-    except Exception as e:
-        logger.error(f"Error generating summary: {str(e)}")
-        return f"An error occurred while generating the summary: {str(e)}", None
+        {transcript}
 
-@app.callback(
-    [Output('minutes-status', 'children'),
-     Output('download-transcription', 'data', allow_duplicate=True)],
-    Input('btn-minutes', 'n_clicks'),
-    State('transcription-preview', 'children'),
-    prevent_initial_call=True
-)
-def generate_meeting_minutes(n_clicks, transcript):
-    if n_clicks is None or not transcript:
-        return "", None
-    
-    minutes_prompt = f"""
-    Please transform the following transcript into structured meeting minutes. Include the following sections:
-    1. Meeting Title
-    2. Date and Time (if mentioned)
-    3. Attendees (if mentioned)
-    4. Agenda Items
-    5. Key Decisions
-    6. Action Items
-    7. Next Steps
-
-    Transcript:
-    {transcript}
-
-    Meeting Minutes:
-    """
+        Summary:
+        """
 
-    try:
-        minutes_response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are an AI assistant skilled in creating structured meeting minutes from transcripts."},
-                {"role": "user", "content": minutes_prompt}
-            ]
-        )
+        try:
+            summary_response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {"role": "system", "content": "You are an AI assistant skilled in summarizing conversations."},
+                    {"role": "user", "content": summary_prompt}
+                ]
+            )
+
+            summary = summary_response['choices'][0]['message']['content']
+            return "", "", dcc.send_string(summary, "transcript_summary.txt")
+        except Exception as e:
+            logger.error(f"Error generating summary: {str(e)}")
+            return f"An error occurred while generating the summary: {str(e)}", "", None
+
+    elif button_id == 'btn-minutes':
+        minutes_prompt = f"""
+        Please transform the following transcript into structured meeting minutes. Include the following sections:
+        1. Meeting Title
+        2. Date and Time (if mentioned)
+        3. Attendees (if mentioned)
+        4. Agenda Items
+        5. Key Decisions
+        6. Action Items
+        7. Next Steps
+
+        Transcript:
+        {transcript}
+
+        Meeting Minutes:
+        """
 
-        minutes = minutes_response['choices'][0]['message']['content']
-        return "", dcc.send_string(minutes, "meeting_minutes.txt")
-    except Exception as e:
-        logger.error(f"Error generating meeting minutes: {str(e)}")
-        return f"An error occurred while generating meeting minutes: {str(e)}", None
+        try:
+            minutes_response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {"role": "system", "content": "You are an AI assistant skilled in creating structured meeting minutes from transcripts."},
+                    {"role": "user", "content": minutes_prompt}
+                ]
+            )
+
+            minutes = minutes_response['choices'][0]['message']['content']
+            return "", "", dcc.send_string(minutes, "meeting_minutes.txt")
+        except Exception as e:
+            logger.error(f"Error generating meeting minutes: {str(e)}")
+            return "", f"An error occurred while generating meeting minutes: {str(e)}", None
+
+    elif button_id == 'btn-download':
+        return "", "", dcc.send_bytes(generated_file.getvalue(), "diarized_transcription.txt")
+
+    return "", "", None
 
 @app.callback(
     [Output('output-media-upload', 'children'),