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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-3.3-70b-versatile", | |
messages = [ | |
{"role" : "user", "content": "Main baat nhi krunga bhidu π"} | |
] | |
) | |
return response.choices[0].message["content"] | |
except Exception as e: | |
return f"Error: {str(e)}" | |
def chatbot(user_input, history=[]): | |
# Get the response from Groq model | |
bot_response = get_groq_response(user_input) | |
history.append((user_input, bot_response)) # Append the conversation to history | |
return history, history # Return history and updated state | |
# Gradio Interface setup | |
chat_interface = gr.Interface( | |
fn=chatbot, # Function to call for chatbot interaction | |
inputs=["text","state"], # Input fields: user message and chat history (state) | |
outputs=["chatbot","state"], # Outputs: the chat and the updated history (state) | |
live=False, # Disable live chat, responses will be shown after submit | |
title="My Chatbot", # Title of the app | |
description="Apan Tapori hai bhidu, kitna hi krle answer ni dega apun π \nChatGPT at home:" ) | |
chat_interface.launch() |