app.py

import os
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
import gradio as gr

model_id = "meta-llama/Llama-3.1-8B-Instruct"
token = os.getenv("kumar")

tokenizer = AutoTokenizer.from_pretrained(model_id, token=token)
model = AutoModelForCausalLM.from_pretrained(model_id, token=token, device_map="auto")

pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

def chat_with_llama(prompt):
    result = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7)
    return result[0]["generated_text"]

# ❌ DO NOT include share=True here on Spaces
gr.Interface(fn=chat_with_llama, inputs="text", outputs="text", title="Venkat's Chatbot").launch()