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# 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 BLIP model | |
def img2text(url): | |
""" | |
Converts an image to text using the Salesforce/blip-image-captioning-base model. | |
Args: | |
url (str): Path to the image file. | |
Returns: | |
str: Generated text caption from the image. | |
""" | |
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 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 95 words. | |
""" | |
# Add a prompt to ensure the story is kid-friendly and happy | |
prompt = f"Write a happy, fun and complete story for kids aged 3-10 based on the following scenario: {text}. Keep the story under 120 words." | |
# 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)[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) > 98: | |
story = " ".join(story_words[:98]) | |
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 π¨π", page_icon="π¦") | |
st.title("Picture Stories π¨π") | |
st.markdown("### Turn your pictures into fun stories and listen to them! π") | |
# 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! π§ | |
""") | |
# Upload image | |
uploaded_file = st.file_uploader("π· **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('β¨ Turning your picture into words...') | |
scenario = img2text(uploaded_file.name) | |
st.write("**What we see:**", scenario) | |
# Stage 2: Text to Story | |
st.text('π Creating a fun story for you...') | |
story = text2story(scenario) | |
st.write("**Your story:**", story) | |
# Stage 3: Story to Audio | |
st.text('π§ Turning your story into audio...') | |
audio_file = text2audio(story) | |
# Play button for the generated audio | |
if st.button("π΅ **Play Audio**"): | |
st.audio(audio_file, format="audio/mp3") | |
# Clean up the generated audio file | |
os.remove(audio_file) |