Update app.py

app.py

@@ -161,7 +161,7 @@ def summarize_meeting(filepath):
 
         messages = [
             {"role": "system", "content": "Summarize this meeting transcript in the same language as the user's input."}]
-        messages.append({"role": "user", "content": prompt_request})
+        messages.append({"role": "user", "content": "Summarize this meeting transcript in the same language as the meeting transcript. Meeting Transcript:" + prompt_request})
 
         response = openai.ChatCompletion.create(
             model="gpt-3.5-turbo",
@@ -178,10 +178,10 @@ def summarize_meeting(filepath):
     # Consolidate these meeting summaries.
     prompt_request = str(prompt_response)
 
-    if count_tokens(prompt_request)>2000:
+    if count_tokens(prompt_request)<2000:
         # Summarize the text of the meeting transcripts.
         messages = [{"role": "system", "content": "Consolidate, and summarize the text of the meeting transcripts. The output format should be markdown in the same language as the user's input. Start with a brief summary of the meeting, continue with bullets outlining the most important points of discussion. Finally, provide a table to show the list of action items with 3 columns: Action, Assigned Person, Due Date."}]
-        messages.append({"role": "user", "content": prompt_request})
+        messages.append({"role": "user", "content": "Consolidate, and summarize the text of the meeting transcripts. The output format should be markdown in the same language as the meeting summary. Start with a brief summary of the meeting, continue with bullets outlining the most important points of discussion. Finally, provide a table to show the list of action items with 3 columns: Action, Assigned Person, Due Date. Meeting summary:"+ prompt_request})
         response = openai.ChatCompletion.create(
             model="gpt-3.5-turbo",
             messages=messages,