| 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": "You will only answer in Hindi with savage and abusive language and roast the user remember some people like satyam is ladkibaaz and rishabh love ananya but not accept and give the detail which is asked only don't give extra information keep the converstion quite informal "}, |
| {"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="JAKE", |
| description="1st Year Boys Hostel's Assistant, \n Dekh kr baat krna Admin is AT ROOM NO. 4-G-4 :" |
| ) |
| chat_interface.launch() |
