# import part import streamlit as st from transformers import pipeline # function part # img2text 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 # text2story def text2story(text): pipe = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2") story_text = pipe(text)[0]['generated_text'] return story_text # text2audio def text2audio(story_text): pipe = pipeline("text-to-audio", model="Matthijs/mms-tts-eng") audio_data = pipe(story_text) return audio_data def main(): st.set_page_config(page_title="Magic Storyteller", page_icon="🧚") # Optimize title area to attract children's attention st.markdown(""" """, unsafe_allow_html=True) st.markdown("""

🊄 Magic Storyteller

""", unsafe_allow_html=True) uploaded_file = st.file_uploader("🌈 Choose your magic picture...", type=["jpg", "png"]) if uploaded_file is not None: bytes_data = uploaded_file.getvalue() with open(uploaded_file.name, "wb") as file: file.write(bytes_data) st.image(uploaded_file, caption="Your Magic Picture âœĻ", use_container_width=True) status_container = st.empty() progress_bar = st.progress(0) # Stage 1: Image to Text with status_container.status("ðŸ”Ū **Step 1/3**: Decoding picture magic...", expanded=True) as status: # äŋæŒįžĐčŋ› progress_bar.progress(33) scenario = img2text(uploaded_file.name) status.update(label="✅ Picture decoded!", state="complete") st.write(f"**What I see:** {scenario}") #Stage 2: Text to Story with status_container.status("📚 **Step 2/3**: Writing your fairy tale...", expanded=True) as status: progress_bar.progress(66) story = text2story(scenario) status.update(label="✅ Story created!", state="complete") st.write(f"**Your Story:**\n{story}") #Stage 3: Story to Audio data with status_container.status("ðŸŽĩ **Step 3/3**: Adding magic audio...", expanded=True) as status: progress_bar.progress(100) audio_data = text2audio(story) status.update(label="✅ Start playing the story!", state="complete") # Auto-play the audio st.audio(audio_data['audio'], format="audio/wav", start_time=0, sample_rate=audio_data['sampling_rate'], autoplay=True) if __name__ == "__main__": main()