Create app.py

app.py

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+# Import convention
+>>> import streamlit as st
+from transformers import pipeline
+from PIL import Image
+
+# Load the image-to-text pipeline
+image_read = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+
+def read(image):
+    results = image_read(image)
+    return results
+
+# Streamlit UI
+st.title("Storytelling from images for 3-10 year-old kids")
+
+uploaded_file = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file).convert("RGB")
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    # Read image
+    image_content = read(image)
+
+    # Display results
+    st.subheader("Image Content:")
+    st.write(f"Image Content: {image_content[0]}")