app.py

import streamlit as st
from PIL import Image
from transformers import pipeline

# Create an image captioning pipeline using Hugging Face Transformers
image_captioner = pipeline("image-captioning")

# Streamlit app header
st.title("Hugging Face Transformer Image-to-Text App")

# File uploader for image
uploaded_image = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])

if uploaded_image:
    # Display the uploaded image
    image = Image.open(uploaded_image)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    # Perform image captioning when an image is uploaded
    caption = image_captioner(uploaded_image)[0]["caption"]

    # Display the generated caption
    st.subheader("Generated Caption:")
    st.write(caption)