app.py

import gradio as gr
from transformers import pipeline

generator = pipeline(
    "text-generation",
    model="BioMistral/BioMistral-7B",
    device_map="auto"
)

def generate(prompt):

    result = generator(
        prompt,
        max_new_tokens=200,
        temperature=0.3
    )

    return result[0]["generated_text"]

iface = gr.Interface(
    fn=generate,
    inputs="text",
    outputs="text",
    title="EBM Assistant"
)

iface.launch()