Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model = load_model('xray_image_classifier_model.keras')
+
+def predict_image(img):
+    img = img.resize((150, 150))
+    img = np.array(img) / 255.0
+    img = np.expand_dims(img, axis=0)
+    prediction = model.predict(img)
+    label = 'Pneumonia' if prediction > 0.5 else 'Normal'
+    return label
+
+iface = gr.Interface(
+    fn=predict_image, 
+    inputs=gr.inputs.Image(type="pil"), 
+    outputs="text",
+    title="X-ray Image Classifier",
+    description="Upload an X-ray image to classify it as 'Pneumonia' or 'Normal'."
+)
+
+iface.launch()