Upload app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import textwrap
+import numpy as np
+import soundfile as sf
+import tempfile
+import os
+
+# Initialize pipelines
+@st.cache_resource
+def load_pipelines():
+    captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+    storyer = pipeline("text-generation", model="aspis/gpt2-genre-story-generation")
+    tts = pipeline("text-to-speech", model="facebook/mms-tts-eng")
+    return captioner, storyer, tts
+
+captioner, storyer, tts = load_pipelines()
+
+# Main logic
+def generate_content(image):
+    # Generate caption
+    caption = captioner(image)[0]["generated_text"]
+    st.write("**Caption:**", caption)
+
+    # Generate story
+    prompt = (
+        f"Write a funny, warm children's story for ages 3-10, 50–100 words, "
+        f"in third-person narrative, that describes this scene exactly: {caption} "
+        f"mention the exact place or venue within {caption}"
+    )
+    raw = storyer(
+        prompt,
+        max_new_tokens=150,
+        temperature=0.7,
+        top_p=0.9,
+        no_repeat_ngram_size=2,
+        return_full_text=False
+    )[0]["generated_text"].strip()
+
+    # Trim to max 100 words
+    words = raw.split()
+    story = " ".join(words[:100])
+    st.write("**Story:**", story)
+
+    # Convert story to speech
+    chunks = textwrap.wrap(story, width=200)
+    audio = np.concatenate([tts(chunk)["audio"].squeeze() for chunk in chunks])
+
+    # Save audio to temporary file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
+        sf.write(temp_file.name, audio, tts.model.config.sampling_rate)
+        temp_file_path = temp_file.name
+
+    return caption, story, temp_file_path
+
+# Streamlit UI
+st.title("Image to Children's Story and Audio")
+st.write("Upload an image to generate a caption, a children's story, and an audio narration.")
+
+uploaded_image = st.file_uploader("Choose an image", type=["jpg", "jpeg", "png"])
+
+if uploaded_image is not None:
+    st.image(uploaded_image, caption="Uploaded Image", use_column_width=True)
+    if st.button("Generate Story and Audio"):
+        with st.spinner("Generating content..."):
+            caption, story, audio_path = generate_content(uploaded_image)
+            st.audio(audio_path, format="audio/wav")
+            # Clean up temporary file
+            os.remove(audio_path)