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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+loretmar_ResNet50.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,43 @@
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+from PIL import Image
+ 
+model_path = "loretmar_ResNet50.keras"
+model = tf.keras.models.load_model(model_path)
+ 
+
+def predict_pokemon(image):
+    # Preprocess image
+    print(type(image))
+    image = Image.fromarray(image.astype('uint8'))  # Convert numpy array to PIL image
+    image = image.resize((200, 200)) #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, ...]
+
+    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_1 = prediction[0][0]  # Probability for class 'articuno'
+    p_2 = prediction[0][1]   # Probability for class 'moltres'
+    p_3 = prediction[0][2]    # Probability for class 'zapdos'
+    p_4 = prediction[0][3]    # Probability for class 'zapdos'
+ 
+  #  return {'charmander':  p_charmander, 'mewtwo': p_mewtwo, 'squirtle': p_squirtle}
+    return {'Agkistrodon contortrix (venomous)': p_1, 'Agkistrodon piscivorus (venomous)': p_2, 'Ahaetulla nasuta (not venomous)': p_3, 'Ahaetulla prasina (not venomous)': p_4}
+ 
+ 
+input_image = gr.Image()
+iface = gr.Interface(
+    fn=predict_pokemon,
+    inputs=input_image,
+    outputs=gr.Label(),
+    examples=["train/18/0bd1af4119054513917caa7944efd082.jpg", "train/20/0b103c4331bb47f4890d6e0ec96bf9bf.jpg", "train/25/0b4ef7c358044df1b734ea188811e684.jpg", "train/26/0f13f1c263c94602b0462353ff3d188b.jpg"],
+    #examples=["pokemon\train\Abra\00000000.png", "pokemon\train\Abra\00000001.png.png", "pokemon\train\Dragonite\00000000.png", "pokemon\train\Dragonite\00000001.png", "pokemon\train\Jigglypuff\00000000.png", "pokemon\train\Jigglypuff\00000001.png"],
+    description="TEST.")
+ 
+iface.launch()

loretmar_ResNet50.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cac66650e3dc323dc233a0ee275837e84055db7a31b9317ef8f510ce6573988
+size 283497154