app.py

import gradio as gr
from transformers import pipeline
from fastapi import FastAPI

# Initialize the summarization pipeline
summarizer = pipeline("summarization", model="RMWeerasinghe/text_summarization-finetuned_cnn_dailymail")


# Define the summarization function
def summarize_text(input_text):
    summary = summarizer(input_text, max_length=600, min_length=30, do_sample=False)
    return summary[0]['summary_text']

# Create the Gradio app
app = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, label="Input Text"),
    outputs=gr.Textbox(label="Summarized Text"),
    title="Text Summarization",
    description="Enter a block of text to summarize it using fine-tuned CNN/Daily Mail model.",
    api_name="predict" 
)

# Mount the Gradio app on FastAPI
fastapi_app = FastAPI()
fastapi_app.mount("/", app)

if __name__ == "__main__":
    app.launch()