app.py

import streamlit as st
from PIL import Image
from predictions import get_predictions


st.title("Image Whisper App")

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

if uploaded_image is not None:
    st.subheader("Uploaded Image")
    st.image(uploaded_image, use_column_width=True)

    if st.button("Submit"):
        processed_image, text, audio = get_predictions(uploaded_image)

        st.subheader("Output image with predicted instances")
        st.image(processed_image, use_column_width=True)

        st.subheader("Textual Description")
        st.write(text, "Narration in Text")


        st.subheader("Audio Narration")
        if isinstance(audio, tuple):
            sample_rate, audio_data = audio
            st.audio(audio_data, format='audio/wav', sample_rate=sample_rate)
        else:
            st.audio(audio, format='audio/wav')