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 using Hugging Face's vit-gpt2-image-captioning model
def img2text(url):
    """
    Converts an image to text using the nlpconnect/vit-gpt2-image-captioning model.
    
    Args:
        url (str): Path to the image file.
    
    Returns:
        str: Generated text caption from the image, without words like "illustration".
    """
    image_to_text_model = pipeline("image-to-text", model="nlpconnect/vit-gpt2-image-captioning")
    text = image_to_text_model(url)[0]["generated_text"]
    
    # Remove unwanted words like "illustration"
    unwanted_words = ["illustration", "drawing", "sketch", "picture", "dream", "imagination"]
    for word in unwanted_words:
        text = text.replace(word, "")
    
    return text.strip()

# Function to generate a kid-friendly story from the text caption
def text2story(text):
    """
    Generates a kid-friendly story from the text caption using the aspis/gpt2-genre-story-generation model.
    
    Args:
        text (str): Text caption generated from the image.
    
    Returns:
        str: Generated story suitable for kids aged 3-10, within 100 words.
    """
    # Add a prompt to ensure the story is happy, fun, and appropriate for kids
    prompt = f"Write a kids story based on below scenario :{text}."
    
    # Load the text generation model
    story_generator = pipeline("text-generation", model="aspis/gpt2-genre-story-generation")
    
    # Generate the story
    story = story_generator(prompt, max_length=150, num_return_sequences=1, temperature=0.7)[0]["generated_text"]
    
    # Remove the prompt from the generated story
    story = story.replace(prompt, "").strip()
    
    # Ensure the story is within 95 words
    story_words = story.split()
    if len(story_words) > 100:
        story = " ".join(story_words[:100])
    
    return story

# Function to convert text to audio using gTTS
def text2audio(story_text):
    """
    Converts the generated story text to audio using gTTS.
    
    Args:
        story_text (str): The generated story text.
    
    Returns:
        str: Path to the generated audio file.
    """
    # Convert text to speech
    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="Picture Stories 🎨📖", page_icon="🦄")
st.title("Picture Stories 🎨📖")
st.markdown("### Turn your pictures into fun stories and listen to them! 🎉")

# Instructions for kids
st.markdown("""
**How to use this app:**
1. **Upload a picture** of something fun, like your favorite toy, a park, or your pet.
2. Wait for the app to **create a story** from your picture.
3. **Listen to the story** by clicking the "Play Audio" button.
4. Enjoy your fun story! 🎧
""")

# Upload image
uploaded_file = st.file_uploader("📷 **Upload your picture here!**", 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="Your awesome picture!", use_container_width=True)

    # Stage 1: Image to Text
    st.text('✨ Turning your picture into words...')
    scenario = img2text(uploaded_file.name)
    st.write("**What we see:**", scenario)

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

    # Stage 3: Story to Audio
    st.text('🎧 Turning your story into 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)