app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

def load_model():
    model_name = "internistai/base-7b-v0.2"
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    model = AutoModelForCausalLM.from_pretrained(model_name)
    return model, tokenizer

def chat(message, model, tokenizer):
    inputs = tokenizer(message, return_tensors="pt")
    outputs = model.generate(**inputs)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

model, tokenizer = load_model()

iface = gr.Interface(fn=lambda message: chat(message, model, tokenizer), inputs="text", outputs="text")
iface.launch()