Upload app.py

app.py

@@ -99,11 +99,11 @@ def predict(user_input):
             )
         }
     ]
-
+    print(prompt)
     try:
         response = client.chat.completions.create(
             # model='mistralai/Mixtral-8x7B-Instruct-v0.1',
-            model='gpt-3.5-turbo',
+            model='gpt-3.5-turbo', # gpt-3.5-turbo
             messages=prompt,
             temperature=0
         )
@@ -113,20 +113,6 @@ def predict(user_input):
     except Exception as e:
         prediction = e
 
-    # While the prediction is made, log both the inputs and outputs to a local log file
-    # While writing to the log file, ensure that the commit scheduler is locked to avoid parallel
-    # access
-    
-    # with scheduler.lock:
-    #     with log_file.open("a") as f:
-    #         f.write(json.dumps(
-    #             {
-    #                 'user_input': user_input,
-    #                 'retrieved_context': context_for_query,
-    #                 'model_response': prediction
-    #             }
-    #         ))
-    #         f.write("\n")
     
     return prediction