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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 | |
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="π¦") | |
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) |