Create app.py

Initial commit with image recognition code

app.py

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+import streamlit as st
+from PIL import Image
+from transformers import pipeline
+
+# Set up a title for the app
+st.title("Image Recognition App")
+
+# Load a pre-trained image classification pipeline from Hugging Face
+classifier = pipeline('image-classification', model='google/efficientnet-b0')
+
+# Upload an image
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    # Display the uploaded image
+    image = Image.open(uploaded_file)
+    st.image(image, caption='Uploaded Image.', use_column_width=True)
+    
+    # Run the classifier
+    st.write("Classifying...")
+    results = classifier(image)
+    
+    # Display the classification results
+    st.write("Predictions:")
+    for label in results:
+        st.write(f"Label: {label['label']}, Confidence: {label['score']:.2f}")