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/ozzadinataX/mineral/resolve/main/best.pt")
+# Daftar kelas sesuai model
+class_names = [
+    'Honda Accord',
+    'Honda BR-V',
+    'Honda Brio',
+    'Honda City Hatchback',
+    'Honda Civic Hatchback',
+    'Honda CR-V',
+    'Honda HR-V',
+    'Honda Mobilio',
+    'Honda Odyssey',
+    'Honda WR-V']
+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="Honda-Car Classification"
+)
+demo.launch(share=True)