Update app.py

app.py

@@ -164,7 +164,7 @@ def summarize_meeting(filepath):
         messages.append({"role": "user", "content": prompt_request})
 
         response = openai.ChatCompletion.create(
-            model="gpt-4",
+            model="gpt-3.5-turbo",
             messages=messages,
             temperature=.5,
             top_p=1,
@@ -178,23 +178,26 @@ def summarize_meeting(filepath):
     # Consolidate these meeting summaries.
     prompt_request = str(prompt_response)
 
-    # 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})
-    response = openai.ChatCompletion.create(
-        model="gpt-4",
-        messages=messages,
-        temperature=.3,
-        top_p=1,
-        frequency_penalty=0,
-        presence_penalty=0
-    )
-
-    summary_text = response["choices"][0]["message"]['content'].strip()
+    if count_tokens(prompt_request)>4000:
+        # 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})
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=messages,
+            temperature=.3,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0
+        )
+    
+        summary_text = response["choices"][0]["message"]['content'].strip()
     #outfilepath = "Resumen-Minuta-" + datetime.now().strftime("%d-%m-%Y-%H-%M") + ".docx"
     # Convert the summary to a .docx file with the name "Resumen-Minuta-<download-date>.docx"
     #markdown_to_docx(
     #    summary_text, outfilepath)
+    else: 
+        summary_text = "Error: Contacta al administrador de Minuteevo."
     
 
     return summary_text