Update app.py

app.py

@@ -8,7 +8,7 @@ client = openai.OpenAI(
 )
 
 # Function to handle predictions
-def predict(inputs, top_p, temperature, openai_api_key, system_prompt, chat_counter, chatbot=[], history=[]):  
+def predict(inputs, top_p, temperature, system_prompt, chat_counter, chatbot=[], history=[]):  
     # Build the system prompt if provided
     messages = []
     if system_prompt:
@@ -39,7 +39,7 @@ def predict(inputs, top_p, temperature, openai_api_key, system_prompt, chat_coun
     history.append(inputs)
 
     # Using the proxy API to get the response
-    response = client.Completions.create(
+    response = client.ChatCompletion.create(
         model=payload["model"],
         messages=payload["messages"],
         temperature=payload["temperature"],
@@ -72,7 +72,7 @@ def reset_textbox():
 # UI Components
 title = """<h1 align="center">Customizable Chatbot with OpenAI API</h1>"""
 description = """
-Explore the outputs of a GPT-3.5 model, with the ability to customize system prompts, enter your OpenAI API key, and interact with a history of conversation logs.
+Explore the outputs of a GPT-3.5 model, with the ability to customize system prompts and interact with a history of conversation logs.
 """
 
 with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-right: auto;}
@@ -80,7 +80,8 @@ with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-r
     
     gr.HTML(title)
     with gr.Column(elem_id="col_container"):
-        openai_api_key = gr.Textbox(type='password', label="Enter your OpenAI API key here")
+        # Removed the API key input field
+        # openai_api_key = gr.Textbox(type='password', label="Enter your OpenAI API key here")
         system_prompt = gr.Textbox(placeholder="Enter system prompt (optional)", label="System Prompt", lines=2)
         chatbot = gr.Chatbot(elem_id='chatbot')
         inputs = gr.Textbox(placeholder="Type your message here!", label="Input", lines=1)
@@ -95,7 +96,7 @@ with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-r
             temperature = gr.Slider(minimum=0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature")
         
         # Submit input for model prediction with the send button
-        send_btn.click(predict, [inputs, top_p, temperature, openai_api_key, system_prompt, chat_counter, chatbot, state], 
+        send_btn.click(predict, [inputs, top_p, temperature, system_prompt, chat_counter, chatbot, state], 
                       [chatbot, state, chat_counter])
         reset_btn.click(reset_textbox, [], [inputs])
         inputs.submit(reset_textbox, [], [inputs])