app.py

import streamlit as st
from transformers import pipeline

st.set_page_config(page_title="Your Image to Audio Story",
                   page_icon="🦜")
st.header("Turn Your Image to Audio Story")
uploaded_file = st.file_uploader("Select an Image...")

if uploaded_file is not None:
    print(uploaded_file)
    bytes_data = uploaded_file.getvalue()
    with open(uploaded_file.name, "wb") as file:
        file.write(bytes_data)
    st.image(uploaded_file, caption="Uploaded Image",
             use_column_width=True)

    #Stage 1: Image to Text
    st.text('Processing img2text...')
    scenario = img2text(uploaded_file.name)
    st.write(scenario)

    #Stage 2: Text to Story
    st.text('Generating a story...')
    #story = text2story(scenario)
    #st.write(story)

    #Stage 3: Story to Audio data
    #st.text('Generating audio data...')
    #audio_data =text2audio(story)

    # Play button
    if st.button("Play Audio"):
        #st.audio(audio_data['audio'],
        #            format="audio/wav",
        #            start_time=0,
        #            sample_rate = audio_data['sampling_rate'])
        st.audio("kids_playing_audio.wav")