"""import gradio as gr
from transformers import pipeline

pipe = pipeline("image-to-text",
                model="./models/Salesforce/blip-image-captioning-base")

def launch(input):
    out = pipe(input)
    return out[0]['generated_text']

iface = gr.Interface(launch,
                     inputs=gr.Image(type='pil'),
                     outputs="text")

iface.launch()
"""

import gradio as gr

def greet(name):
    return "Hello, " + name + "!"

demo = gr.Interface(
    fn=greet,
    inputs=["text"],
    outputs=["text"],
)

demo.launch()