Create app.py

app.py

@@ -0,0 +1,93 @@
+# import part
+import streamlit as st
+from transformers import pipeline
+import textwrap
+import numpy as np
+import soundfile as sf
+import tempfile
+import os
+from PIL import Image
+import string
+
+# Initialize pipelines with caching
+@st.cache_resource
+def load_pipelines():
+    captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
+    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()
+
+# Function part
+# Function to generate content from an image
+def generate_content(image):
+    pil_image = Image.open(image)
+    
+    # Generate caption
+    caption = captioner(pil_image)[0]["generated_text"]
+    st.write("**🌟 What's in the picture: 🌟**")
+    st.write(caption)
+
+    # Create prompt for story
+    prompt = (
+        f"Write a funny, warm children's story that precisely centered on this scene {caption}\nStory:"
+        f"in third-person narrative, that describes this scene exactly: {caption} "
+        f"mention the exact place, location or venue within {caption}"
+    )
+    
+    # Generate raw story
+    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()
+
+    # Define allowed characters to keep (removes symbols like * and ~)
+    allowed_chars = string.ascii_letters + string.digits + " .,!?\"'-"
+    
+    # Clean the raw story by keeping only allowed characters
+    clean_raw = ''.join(c for c in raw if c in allowed_chars)
+    
+    # Split into words and trim to 100 words
+    words = clean_raw.split()
+    story = " ".join(words[:100])
+    
+    st.write("**📖 Your funny story: 📖**")
+    st.write(story)
+
+    # Generate audio from cleaned story
+    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("✨ Magic Story Maker ✨")
+st.markdown("Upload a picture to make a funny story and hear it too! 📸")
+
+uploaded_image = st.file_uploader("Choose your picture", type=["jpg", "jpeg", "png"])
+
+# Streamlit UI (modified image display section)
+if uploaded_image is None:
+    st.image("https://example.com/placeholder_image.jpg", caption="Upload your picture here! 📷", use_container_width=True)
+else:
+    st.image(uploaded_image, caption="Your Picture 🌟", use_container_width=True)
+
+if st.button("✨ Make My Story! ✨"):
+    if uploaded_image is not None:
+        with st.spinner("🔮 Creating your magical story..."):
+            caption, story, audio_path = generate_content(uploaded_image)
+            st.success("🎉 Your story is ready! 🎉")
+            st.audio(audio_path, format="audio/wav")
+            os.remove(audio_path)
+    else:
+        st.warning("Please upload a picture first! 📸")