app.py

import os
import gradio as gr
from transformers import pipeline

# 1. Get the secret token you just saved
hf_token = os.getenv("HF_TOKEN")

# 2. Load the model WITH the token
# The 'token' argument proves you have permission to access the private model
pipe = pipeline(
    "summarization", 
    model="jrsenobio/summarizer_model", 
    token=hf_token
)

def summarize(text):
    if not text:
        return "No text provided"
    
    # Run the model
    output = pipe(text, max_length=130, min_length=30)
    return output[0]['summary_text']

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

demo.launch()