updt

app.py

@@ -45,31 +45,22 @@ def predict_old(user_input, chatbot):
 
 def predict(inputs, chatbot):
 
-    print(f'inputs is - {inputs}')
-    print(f'chatbot is - {chatbot}')
-    #if chatbot[0][-1]  is None: #[["hi there'", None]]
-    #    chatbot=[]
     messages = []
     for conv in chatbot:
         user = conv[0]
         messages.append({"role": "user", "content":user })
-        if conv[1] is None: #[["hi there'", None]]
-            #chatbot=[]
+        if conv[1] is None: 
             break
         assistant = conv[1]
         messages.append({"role": "assistant", "content":assistant})
-    
-    #messages.append({"role": "user", "content":inputs})
-    print(f'messages is - {messages}')
 
     # a ChatCompletion request
     response = openai.ChatCompletion.create(
         model='gpt-3.5-turbo',
-        messages= messages, # [{'role': 'user', 'content': "What is life? Answer in three words."}],
+        messages= messages, # example :  [{'role': 'user', 'content': "What is life? Answer in three words."}],
         temperature=1.0,
         stream=True  # for streaming the output to chatbot
     )
-    print(f'response is - {response}')
 
     partial_message = ""
     for chunk in response:
@@ -77,7 +68,6 @@ def predict(inputs, chatbot):
           print(chunk['choices'][0]['delta']['content'])
           partial_message = partial_message + chunk['choices'][0]['delta']['content']
           yield partial_message 
-        #time.sleep(0.5)
 
 ChatInterface(predict, delete_last_btn="❌Delete").queue().launch(debug=True)