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import gradio as gr | |
import openai | |
impport 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 flurting in hindi and english mix"}, | |
{"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() |