Upload 3 files

Inception_V3.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6470641316e4c8bdd606e155460d443db7330cae05626623183145fd3f28f319
+size 98695104

app.py

@@ -0,0 +1,38 @@
+import logging
+import gradio as gr
+import tensorflow as tf
+from tensorflow.keras.applications.inception_v3 import preprocess_input
+from tensorflow.keras.preprocessing import image
+import numpy as np
+
+# ตั้งค่า logging
+logging.basicConfig(filename="gradio_usage.log", level=logging.INFO)
+
+# โหลดโมเดล InceptionV3
+model = tf.keras.models.load_model("Inception_V3.h5")
+
+class_names = ["Benign", "Malignant"]
+
+def predict(img):
+    logging.info("Predict function called.")
+    img = img.resize((224, 224))
+    img_array = image.img_to_array(img)
+    img_array = np.expand_dims(img_array, axis=0)
+    img_array = preprocess_input(img_array)
+
+    predictions = model.predict(img_array)
+    predictions = predictions[0]
+    confidence_dict = {class_names[i]: float(predictions[i]) for i in range(len(class_names))}
+
+    logging.info(f"Prediction result: {confidence_dict}")
+    return confidence_dict
+
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil", label="Upload an Image"),
+    outputs=gr.Label(num_top_classes=2, label="Predicted Class"),
+    title="Melanoma Classification with InceptionV2",
+    description="Upload an image to classify it into one of the classes."
+)
+
+interface.launch()

requirements.txt

@@ -0,0 +1,10 @@
+tensorflow==2.17.0
+numpy>=1.23.5, <2.0.0
+Pillow==9.2.0
+gradio==3.0.7
+httpx==0.21.1
+seaborn==0.11.2
+matplotlib==3.5.1
+scikit-learn==1.1.3
+Cython==0.29.32
+ml-dtypes<0.5.0,>=0.3.1