app.py

from transformers import pipeline
import gradio as gr

# Use a specific model and CPU

model = pipeline(
    "summarization",
    model="facebook/bart-large-cnn",
    device=-1  # forces CPU
)

def predict(prompt):
    summary = model(prompt)[0]["summary_text"]
    return summary

# Simple Gradio interface
demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(placeholder="Enter text to summarize", lines=4),
    outputs="text",
    title="MLOps Pipeline Summarizer",
    description="Enter text and get a summarized version using Hugging Face Transformers"
)

demo.launch()