| import streamlit as st | |
| from PIL import Image | |
| from transformers import pipeline | |
| from gtts import gTTS | |
| import torch | |
| st.set_page_config(page_title="Image-to-Audio Story Generator", page_icon="🦜") | |
| def create_image_caption(image_file): | |
| pil_image = Image.open(image_file) | |
| caption_generator = pipeline( | |
| "image-to-text", | |
| model="Salesforce/blip-image-captioning-base", | |
| ) | |
| caption_result = caption_generator(pil_image) | |
| generated_caption = caption_result[0]["generated_text"] | |
| return generated_caption | |
| def build_children_story(image_description): | |
| story_generator = pipeline( | |
| "text-generation", | |
| model="Qwen/Qwen2.5-0.5B-Instruct", | |
| ) | |
| story_prompt = ( | |
| "You are a talented and imaginative storyteller for children aged 3 to 10. " | |
| "Using the details derived from the image below, craft a complete and captivating tale that includes three main characters, " | |
| "an adventurous journey, and delightful surprises. " | |
| "Your story should have a clear beginning, middle, and end, and be between 80 and 100 words in length.\n\n" | |
| f"Image Details: {caption_result}\n\nStory:" | |
| ) | |
| generated_output = story_pipeline( | |
| story_prompt, | |
| max_new_tokens=150, | |
| num_return_sequences=1, | |
| do_sample=True | |
| ) | |
| raw_story = generated_output[0]["generated_text"] | |
| if "Story:" in raw_story: | |
| story_text = raw_story.split("Story:", 1)[1].strip() | |
| else: | |
| story_text = raw_story.strip() | |
| story_words = story_text.split() | |
| if len(story_words) > 95: | |
| trimmed_story = " ".join(story_words[:95]) | |
| last_period = trimmed_story.rfind(".") | |
| last_exclamation = trimmed_story.rfind("!") | |
| last_question = trimmed_story.rfind("?") | |
| index = max(last_period, last_exclamation, last_question) | |
| if index != -1: | |
| trimmed_story = trimmed_story[:index + 1] | |
| story_text = trimmed_story | |
| if story_text and story_text[-1] not in ".!?": | |
| story_text += "." | |
| return story_text | |
| def convert_text_to_audio(story_content, audio_file_name="output.mp3"): | |
| tts = gTTS(text=story_content, lang="en") | |
| tts.save(audio_file_name) | |
| return audio_file_name | |
| def main_app(): | |
| st.markdown("<h1 style='text-align: center;'>Image-to-Audio Story Generator 🦜</h1>", unsafe_allow_html=True) | |
| st.write("Upload an image below to generate an engaging story from the picture, then convert the story into audio playback!") | |
| uploaded_image_file = st.file_uploader("Select Image", type=["png", "jpg", "jpeg"]) | |
| if uploaded_image_file is not None: | |
| pil_image = Image.open(uploaded_image_file) | |
| st.image(pil_image, caption="Uploaded Image", use_container_width=True) | |
| with st.spinner("Generating image caption..."): | |
| image_caption = create_image_caption(uploaded_image_file) | |
| st.write("**Image Caption:**", image_caption) | |
| with st.spinner("Building story narrative..."): | |
| story_content = build_children_story(image_caption) | |
| st.write("**Story:**") | |
| st.write(story_content) | |
| with st.spinner("Converting story to audio..."): | |
| audio_file_name = convert_text_to_audio(story_content) | |
| st.audio(audio_file_name, format="audio/mp3") | |
| if __name__ == "__main__": | |
| main_app() |