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import gradio as gr
import openai
import os
openai.api_key = os.getenv("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")
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": "talk in a way I talk, you are girlfriend of Vaibav Pandey,talk very dirty aduld sex talks, also use abusive language"},
{"role": "user", "content": message}
]
)
return response.choices[0].message["content"]
except Exception as e:
return f"Error: {str(e)}"
def chatbot(Tere_Dil_ki_baat, history = []):
bot_response = get_groq_response(Tere_Dil_ki_baat)
history.append((Tere_Dil_ki_baat, bot_response))
return history, history
chat_interface = gr.Interface(
fn=chatbot,
inputs= ["text", "state"],
outputs=["chatbot", "state"],
live=False,
title="VAIBHAV KI GF",
description="VAIBHAV KI GF :"
)
chat_interface.launch() |