Update app.py

app.py

@@ -35,11 +35,10 @@ with gr.Blocks(theme=gr.themes.Monochrome(),css="footer{display:none !important}
         repo.create_file(filename, "Saving" + filename, "")
     
         return gr.TextArea(new_id,visible=False) # Returning the "TextArea" object with what we want. Set visible to True if you want the id to appear when its made.
-    def user_prompt(inputs):
-        user_dictionary[user_id].append({"role": "user", "content": inputs}) # This adds the input from the user and saves it to the history before we do anything else.
         
     def predict_prompt(inputs, user_id): # This function creates a response for the chatbot to respond with.
-
+        user_dictionary[user_id].append({"role": "user", "content": inputs}) # This adds the input from the user and saves it to the history before we do anything else.
+        
         time.sleep(5) # This pauses the function for the alloted amount of time (ex: time.sleep(5) -> pause for 5 seconds) *this doesnt account for the time it takes for the bot to create a response, so the bots overall response time will be noticably higher than the amount of time you put in*
         
         create_prompt = openai.ChatCompletion.create( #Asking openai for a prompt based on the current message history.
@@ -82,6 +81,6 @@ with gr.Blocks(theme=gr.themes.Monochrome(),css="footer{display:none !important}
     Chatbot = gr.Chatbot(label="Anonymous User",layout=['bubble']) # Creating a gradio-chatbot User Interface with the label "Anonymous User".
 
     txt = gr.Textbox(show_label=False, placeholder = initial_message,container=False)
-    txt.submit([predict_prompt,user_prompt], [[txt, user_id],[txt]], Chatbot) # Adding the messages into the row with gradio.
+    txt.submit(predict_prompt, [txt, user_id], Chatbot) # Adding the messages into the row with gradio.
         
 chatblock.launch() # launch!