import os from openai import OpenAI import gradio as gr # Initialize OpenAI client with Groq model XAI_API_KEY = os.getenv("XAI_API_KEY") client = OpenAI( api_key=XAI_API_KEY, base_url="https://api.x.ai/v1", ) # Define a function to handle chat with humor, including chat history def chat_with_buddy(history, user_message): # Start the conversation with a system message and add previous chat history messages = [{"role": "system", "content": "You are Chat Buddy, a friendly and humorous chatbot who loves to make people smile."}] messages += [{"role": "user", "content": msg[0]} for msg in history] + [{"role": "assistant", "content": msg[1]} for msg in history if len(msg) > 1] messages.append({"role": "user", "content": user_message}) try: # Generate a response from Groq response = client.chat.completions.create( model="grok-beta", messages=messages ) # Extract the response content reply = response.choices[0].message.content # Update chat history with the new user message and assistant response history.append((user_message, reply)) return history except Exception as e: # In case of error, add error message to history error_message = f"Oops, something went wrong! Just blame it on the robots... 😉 (Error: {str(e)})" history.append((user_message, error_message)) return history # Set up the Gradio chat interface with history with gr.Blocks() as chat_interface: gr.Markdown("# Chat Buddy") gr.Markdown("Your friendly chatbot with a touch of humor! Ask Chat Buddy anything, and enjoy a chat that’s both helpful and light-hearted.") chatbot = gr.Chatbot() message = gr.Textbox(placeholder="Type your message here...", label="Your Message") submit_button = gr.Button("Send") # Define the submit action to update chat history def submit(user_message, chat_history): return chat_with_buddy(chat_history, user_message), "" # Link the submit button to the function message.submit(submit, inputs=[message, chatbot], outputs=[chatbot, message]) submit_button.click(submit, inputs=[message, chatbot], outputs=[chatbot, message]) # Launch the chat interface chat_interface.launch()