import subprocess
import sys

subprocess.check_call([sys.executable, "-m", "pip", "install", "transformers", "torch", "gradio"])

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-generation", model="sapientinc/HRM-Text-1B")

def chat(message, history):
    return pipe(message, max_length=200)[0]["generated_text"]

gr.ChatInterface(fn=chat).launch()