| import gradio as gr |
| import openai |
| import os |
|
|
| openai.api_key= os.getenv("GROQ_API_KEY") |
| openai.api_base = "https://api.groq.com/openai/v1" |
|
|
| def get_groq_response(message): |
| try: |
| response = openai.ChatCompletion.create( |
| model = "llama-3.1-70b-versatile", |
| messages = [ |
| {"role":"system","content":"From now on answer in way terrorist trying to flirt "}, |
| {"role": "user","content":message} |
| ] |
| ) |
| return response.choices[0].message["content"] |
| except Exception as e: |
| return f"Error:{str(e)}" |
| |
| def chatbot(user_input,history=[]): |
| bot_response = get_groq_response(user_input) |
| history.append((user_input,bot_response)) |
| return history,history |
|
|
| chat_interface = gr.Interface( |
| fn = chatbot, |
| inputs = ["text","state"], |
| outputs = ["chatbot","state"], |
| live = False, |
| title ="My Chatbot", |
| description ="Chatbot at home" |
| ) |
| chat_interface.launch() |
