app.py

import gradio as gr
from transformers import pipeline
import torch
import spaces

device = 0 if torch.cuda.is_available() else -1

@spaces.GPU
def generate_response(user_input, history):
    pipe = pipeline("text-generation", model="explorewithai/ChatFrame-Uncensored-Instruct-Small", device = device)
    messages = [
        {"role": "user", "content": user_input},
    ]
    response = pipe(messages, max_length=512)
    return response[0]['generated_text'][1]["content"]

iface = gr.ChatInterface(
    fn=generate_response,
    title="Text Generation Chatbot",
    description="Enter your text and get a generated response from the model."
)

iface.launch()