app.py

# import part
import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os

# function part
# img2text
def img2text(url):
    image_to_text_model = pipeline("image-to-text", 
                                   model="Salesforce/blip-image-captioning-base")
    text = image_to_text_model(url)[0]["generated_text"]
    return text

# text2story
def text2story(text):
    story_text = "pipeline("text-generation", model="perplexity-ai/r1-1776", trust_remote_code=True)"   # to be completed
    return story_text

# text2audio
def text2audio(story_text):
    # Convert text to audio using gTTS
    tts = gTTS(story_text, lang="en")
    audio_file = "story_audio.wav"
    tts.save(audio_file)
    return audio_file

# main part
st.set_page_config(page_title="Your Image to Audio Story",
                   page_icon="🦜") # prepare configuration
st.header("Turn Your Image to Audio Story")

# Upload image
uploaded_file = st.file_uploader("Select an Image...")

# If it is none, skip all the following things
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")