Create app.py

app.py

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+import gradio as gr
+from ultralytics import YOLO
+# Load model dari Hugging Face
+model = YOLO("https://huggingface.co/astrolabesp/vehicle-v2_deepl/resolve/main/best%20(5).pt")
+# Daftar kelas sesuai model
+class_names = [
+    'Bus',
+    'Car',
+    'Motor-bike',
+    'Three-wheel',
+    'Truck',
+    'Van'
+]
+def classify_image(image):
+    results = model(image)  # Jalankan model pada gambar
+    probs = results[0].probs  # Ambil hasil probabilitas
+    # Prediksi kelas dengan probabilitas tertinggi
+    top1_index = probs.top1
+    top1_label = class_names[top1_index]
+    return f"Predicted Class: {top1_label}"
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Vehicle Classify Demo"
+)
+demo.launch(share=True)