app.py

import gradio as gr
from transformers import pipeline

# Load your fine-tuned model from Hugging Face
summarizer = pipeline("summarization", model="ayushhh05/t5-summarization")

# Function to summarize text
def summarize_text(input_text):
    summary = summarizer(input_text, max_length=100, min_length=30, do_sample=False)
    return summary[0]["summary_text"]

# Create Gradio interface
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=5, placeholder="Enter text to summarize..."),
    outputs="text",
    title="AI Summarizer",
    description="Enter any text, and the AI will summarize it.",
)

# Launch the Gradio app
iface.launch()