app.py

from transformers import pipeline
import gradio as gr

model = pipeline(
    "text-generation",
    model="anbu-2005/Dhenu2-In-Llama3.1-8B-Instruct"
)

def predict(text):
    result = model(text, max_length=100)
    return result[0]["generated_text"]

demo = gr.Interface(
    fn=predict,
    inputs="text",
    outputs="text"
)

demo.launch()