model deployed

app.py

@@ -1,7 +1,20 @@
 import gradio as gr
+import joblib
+import tensorflow as tf
 
-def greet(name):
-    return "Hello " + name + "!!"
+#model = joblib.load('model.pkl')
+model = tf.keras.models.load_model('best_model.h5')
+categories = ["Normal", "Tubercolosis"] #"Pneumonia", "Covid-19"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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(2)}
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label(num_top_classes=2)
+examples = ["Normal-2.png", "Tubercolosis-24.png"]
+    
+
+intf = gr.Interface(classify,inpuys=image, outputs=label, examples=examples, capture_session=True)
+intf.launch(inline=False)

best_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16a7ffaf91f83a0375ef297dc148de790e990ffccc4037a5aa68b3a7b3849e85
+size 363638328