Update app.py

app.py

@@ -1,28 +1,41 @@
 import gradio as gr
 import tensorflow as tf
 import numpy as np
+from PIL import Image
 
-
-model_path = "iris_mlp.keras"
+model_path = "transfer_learning_pk.keras"
 model = tf.keras.models.load_model(model_path)
 
-labels = ['Setosa', 'Versicolour', 'Virginica']
-
 # Define the core prediction function
-def predict_iris(sepal_length, sepal_width, petal_length, petal_width):
-    features = [sepal_length, sepal_width, petal_length, petal_width]
-    features = np.array(features)[None, ...]
-    prediction = model.predict(features)
-    print(prediction)
-    confidences = {labels[i]: np.round(float(prediction[0][i]), 2) for i in range(len(labels))}
-    return confidences
+def predict_pokemon(image):
+    # Preprocess image
+    print(type(image))
+    image = Image.fromarray(image.astype('uint8'))  # Convert numpy array to PIL image
+    image = image.resize((150, 150)) #resize the image to 28x28 and converts it to gray scale
+    image = np.array(image)
+    image = np.expand_dims(image, axis=0) # same as image[None, ...]
+    
+    # Predict
+    prediction = model.predict(image)
+    
+     # No need to apply sigmoid, as the output layer already uses softmax
+    # Convert the probabilities to rounded values
+    prediction = np.round(prediction, 2)
+ 
+    # Separate the probabilities for each class
+    p_gyarados = prediction[0][0]  # Probability for class 'articuno'
+    p_metapod = prediction[0][1]   # Probability for class 'moltres'
+    p_ponyta = prediction[0][2]    # Probability for class 'zapdos'
+ 
+    return {'gyarados': p_gyarados, 'metapod':  p_metapod, 'ponyta': p_ponyta}
 
 # Create the Gradio interface
+input_image = gr.Image()
 iface = gr.Interface(
-    fn=predict_iris,
-    inputs=["number", "number", "number", "number"],
+    fn=predict_pokemon,
+    inputs=input_image,
     outputs=gr.Label(),
-    examples=[[7.7, 2.6, 6.9, 2.3]]
-)
+    examples=["img/gyarados1.jpg", "img/gyarados2.jpg", "img/gyarados3.jpg", "img/metapod1.jpg", "img/metapod2.jpg", "img/metapod3.jpg", "img/ponyta1.jpg", "img/ponyta2.jpg", "img/ponyta3.jpg"],  
+    description="Pokemon")
 
-iface.launch()
+iface.launch()