Create app.py

app.py

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+# huggingface运行版本，app.py
+
+import streamlit as st
+from transformers import pipeline
+from PIL import Image
+
+# Load the age classification pipeline
+pipe = pipeline("image-classification", model="nateraw/vit-age-classifier")
+
+def classify_age(image):
+    """Classifies the age group of the person in the given image."""
+    results = pipe(image)
+    return results
+
+# Streamlit UI
+st.title("Age Classification App")
+st.write("Upload an image to classify the age group of the person in it.")
+
+uploaded_file = st.file_uploader("Upload an image...", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file).convert("RGB")
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+    st.write("Classifying...")
+    age_results = classify_age(image)
+    st.write(f"Predicted Age Range: {age_results[0]['label']}")