app.py

# import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!... How are you doing today"

# iface = gr.Interface(fn=greet, 
#                      inputs=gr.Textbox(lines=2, placeholder="Name Here..."), 
#                      outputs="text")
# iface.launch()



from transformers import pipeline
import gradio as gr

model =  pipeline('summarization')

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

with gr.Blocks() as demo: 
    textbox = gr.Textbox(placeholder="Enter what you need to summarize", lines = 4)
    gr.Interface(fn=predict, input=textbox, output='text')

demo.launch()