app.py

import streamlit as st
from gradio_client import Client

# Function to make API prediction
def predict_image_description(image_url):
    client = Client("https://ashrafb-imdes.hf.space/")
    result = client.predict(image_url, api_name="/predict")
    return result

# Streamlit UI
st.title("Image Description App")
st.write("Upload an image and click the button to get a description!")

uploaded_file = st.file_uploader("Choose an image...", type="jpg")

if uploaded_file is not None:
    st.image(uploaded_file, caption="Uploaded Image.", use_column_width=True)
    st.write("")
    st.write("Classifying...")

    # Make API prediction
    description = predict_image_description(uploaded_file)
    st.write(f"Description: {description}")