app.py

import gradio as gr
from fastai.text.all import *
from blurr.text.modeling.all import load

# Load the exported model
learn = load_learner('article_highlights.pkl')

def generate_summary(article_text):
    # Perform inference using the loaded model
    summary = learn.blurr_generate_summary(article_text)
    return summary

iface = gr.Interface(
    fn=generate_summary,
    inputs="text",
    outputs="text",
    title="Article Summarizer",
    description="Enter an article and get a summary.",
    examples=[
        ["Text of an article goes here..."]
    ]
)

# Update: Use load from the evaluate library
squad_metric = load("squad")

iface.launch()