app.py

app.py

@@ -0,0 +1,42 @@
+import gradio as gr
+import numpy as np
+from PIL import Image
+from tensorflow.keras.applications.mobilenet_v2 import (
+    MobileNetV2,
+    preprocess_input,
+    decode_predictions
+)
+
+# Load model sekali saja
+model = MobileNetV2(weights="imagenet")
+
+def predict_image(img):
+    if img is None:
+        return "Silakan upload gambar terlebih dahulu"
+
+    img = img.convert("RGB")
+    img = img.resize((224, 224))
+
+    x = np.array(img)
+    x = np.expand_dims(x, axis=0)
+    x = preprocess_input(x)
+
+    preds = model.predict(x)
+    decoded = decode_predictions(preds, top=5)[0]
+
+    result = "🤖 Hasil Tebakan AI:\n\n"
+    for i, p in enumerate(decoded):
+        result += f"{i+1}. {p[1]} — {p[2]*100:.2f}%\n"
+
+    return result
+
+demo = gr.Interface(
+    fn=predict_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Textbox(lines=7),
+    title="🤖 AI Tebak Gambar",
+    description="Upload gambar, AI akan menebak isinya",
+    allow_flagging="never"
+)
+
+demo.launch()