Spaces:
Sleeping
Sleeping
# Import necessary libraries | |
import streamlit as st # For building the web application | |
from transformers import pipeline # For using pre-trained models (image-to-text and text-generation) | |
from gtts import gTTS # For converting text to speech | |
import os # For file handling (saving and deleting temporary files) | |
# 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, without unwanted words like "illustration". | |
""" | |
try: | |
# Load the image-to-text model | |
image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base") | |
# Generate text caption from the image | |
text = image_to_text_model(url)[0]["generated_text"] | |
# Remove unwanted words like "illustration" to make the caption cleaner | |
unwanted_words = ["illustration", "drawing", "sketch", "picture", "dream", "imagination"] | |
for word in unwanted_words: | |
text = text.replace(word, "") | |
return text.strip() # Return the cleaned caption | |
except Exception as e: | |
st.error(f"Error processing image: {e}") # Display error message if something goes wrong | |
return None | |
# Function to generate a kid-friendly superhero story from the text caption | |
def text2story(text): | |
""" | |
Generates a kid-friendly superhero story from the text caption using the pranavpsv/gpt2-genre-story-generator model. | |
Args: | |
text (str): Text caption generated from the image. | |
Returns: | |
str: Generated superhero story suitable for kids aged 3-10, within 100 words. | |
""" | |
try: | |
# Load the text-generation model | |
story_generator = pipeline("text-generation", model="pranavpsv/gpt2-genre-story-generator") | |
# Generate the story with the superhero genre | |
prompt = f"<BOS> <superhero> {text}" # Add genre tags to the prompt | |
story = story_generator(prompt, max_length=100, num_return_sequences=1)[0]['generated_text'] | |
# Remove <BOS> and <superhero> tags from the generated story | |
story = story.replace("<BOS>", "").replace("<superhero>", "").strip() | |
# Remove the input text (scenario) from the generated story to avoid redundancy | |
if text in story: | |
story = story.replace(text, "").strip() | |
# Ensure the story is within 100 words by truncating if necessary | |
story = " ".join(story.split()[:100]) | |
return story | |
except Exception as e: | |
st.error(f"Error generating story: {e}") # Display error message if something goes wrong | |
return None | |
# 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. | |
""" | |
try: | |
# Convert text to speech using gTTS | |
tts = gTTS(text=story_text, lang='en') | |
audio_file = "story_audio.mp3" # Define the output audio file name | |
tts.save(audio_file) # Save the audio file | |
return audio_file | |
except Exception as e: | |
st.error(f"Error generating audio: {e}") # Display error message if something goes wrong | |
return None | |
# Main application function | |
def main(): | |
""" | |
Main function to run the Streamlit application. | |
""" | |
# Configure the Streamlit app page | |
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 superhero 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 superhero story** from your picture. | |
3. **Listen to the story** by clicking the "Play Audio" button. | |
4. Enjoy your fun superhero 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 to disk | |
image_bytes = uploaded_file.getvalue() | |
with open(uploaded_file.name, "wb") as file: | |
file.write(image_bytes) | |
# Display the uploaded image in the app | |
st.image(uploaded_file, caption="Your awesome picture!", use_container_width=True) | |
# Stage 1: Image to Text | |
with st.spinner('β¨ Turning your picture into words...'): | |
scenario = img2text(uploaded_file.name) # Generate text caption from the image | |
if scenario: | |
st.write("**What we see:**", scenario) # Display the generated caption | |
# Stage 2: Text to Story | |
with st.spinner('π Creating a fun superhero story for you...'): | |
story = text2story(scenario) # Generate a superhero story from the caption | |
if story: | |
st.write("**Your superhero story:**", story) # Display the generated story | |
# Stage 3: Story to Audio | |
with st.spinner('π§ Turning your story into audio...'): | |
# Generate audio file if it doesn't already exist in the session state | |
if 'audio_file' not in st.session_state: | |
st.session_state.audio_file = text2audio(story) | |
# Play button for the generated audio | |
if st.button("π΅ **Play Audio**"): | |
if os.path.exists(st.session_state.audio_file): | |
st.audio(st.session_state.audio_file, format="audio/mp3") # Play the audio | |
else: | |
st.error("Audio file not found. Please try again.") # Display error if audio file is missing | |
# Clean up temporary files (uploaded image and generated audio) | |
if os.path.exists(uploaded_file.name): | |
os.remove(uploaded_file.name) # Delete the uploaded image file | |
if 'audio_file' in st.session_state and os.path.exists(st.session_state.audio_file): | |
os.remove(st.session_state.audio_file) # Delete the generated audio file | |
# Run the application | |
if __name__ == "__main__": | |
main() |