initilized

app.py

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+import gradio as gr
+#import joblib
+import tensorflow as tf
+
+#model = joblib.load('model.pkl')
+model = tf.keras.models.load_model('best_model.h5')
+categories = ["Normal", "Tubercolosis", "Pneumonia"]
+
+def classify(img):
+    img = img.reshape((-1, 224, 224, 3))
+    pred = model.predict(img)[0]
+    return {categories[i]: float(pred[i]) for i in range(3)}
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label(num_top_classes=2)
+examples = ["Normal.png", "Tuberculosis.png", "Pneumonia.jpeg"]
+    
+
+intf = gr.Interface(classify,inputs=image, outputs=label, examples=examples, capture_session=True)
+intf.launch(inline=False)