app.py

# Import necessary libraries
import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os

# Function to convert image to text
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

# Function to convert text to a story
def text2story(text):
    # Initialize the text generation pipeline
    text_generator = pipeline("text-generation", model="distilbert/distilgpt2")
    
    # Generate the story directly from the input text
    story = text_generator(text, max_length=95, num_return_sequences=1)[0]['generated_text']
    
    return story

# Function to convert text to audio
def text2audio(story_text):
    # Convert the story text to audio using gTTS
    tts = gTTS(text=story_text, lang='en')
    audio_file = "story_audio.mp3"
    tts.save(audio_file)
    
    return audio_file

# Main application
st.set_page_config(page_title="Your Image to Audio Story",
                   page_icon="🦜")
st.header("Turn Your Image into a Fun Audio Story!")
uploaded_file = st.file_uploader("Select an Image...", type=["jpg", "jpeg", "png"])

if uploaded_file is not None:
    # Save the uploaded file
    bytes_data = uploaded_file.getvalue()
    with open(uploaded_file.name, "wb") as file:
        file.write(bytes_data)

    # Display the uploaded image
    st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)

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

    # Stage 2: Text to Story
    st.text('Generating a fun story for kids...')
    story = text2story(scenario)
    st.write("**Story:**", story)

    # Stage 3: Story to Audio
    st.text('Converting story to audio...')
    audio_file = text2audio(story)

    # Play button for the generated audio
    if st.button("Play Audio"):
        st.audio(audio_file, format="audio/mp3")

    # Clean up the generated audio file
    os.remove(audio_file)