File size: 2,152 Bytes
2a84380
 
 
 
 
d841722
2a84380
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a22affd
1de6fba
2a84380
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
import gradio as gr
import tensorflow as tf
import numpy as np
from PIL import Image

model_path = "Bird_transfer_learning_NASNetLarge.keras"
model = tf.keras.models.load_model(model_path)

# Define the core prediction function
def predict_bird(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, 3)

    # Separate the probabilities for each class
    p_azure_jay = prediction[0][0]  # Probability for class 'articuno'
    p_bald_eagle = prediction[0][1]   # Probability for class 'moltres'
    p_jandaya_parakeet = prediction[0][2]    # Probability for class 'zapdos'
    p_shoebill = prediction[0][3]    # Probability for class 'zapdos'
 
    return {'Azure Jay':  p_azure_jay, 'Bald Eagle': p_bald_eagle, 'Jandaya Parakeet': p_jandaya_parakeet, 'Shoebill': p_shoebill}

# Create the Gradio interface
input_image = gr.Image()
iface = gr.Interface(
    fn=predict_bird,
    inputs=input_image,
    outputs=gr.Label(),
    examples=["images/Azure_jay_1.jpg", "images/Azure_jay_2.jpg", "images/Azure_jay_3.jpg", "images/Azure_jay_4.jpg", "images/Azure_jay_5.jpg", "images/Bald_eagle_1.jpg", "images/Bald_eagle_2.jpg", "images/Bald_eagle_3.jpg", "images/Bald_eagle_4.jpg", "images/Bald_eagle_5.jpg", "images/Jandaya_parakeet_1.jpg", "images/Jandaya_parakeet_2.jpg", "images/Jandaya_parakeet_3.jpg", "images/Jandaya_parakeet_4.jpg", "images/Jandaya_parakeet_5.jpg", "images/Shoebill_1.jpg", "images/Shoebill_2.jpg", "images/Shoebill_3.jpg", "images/Shoebill_4.jpg", "images/Shoebill_4.jpg"],  
    description="Welcome to the Bird classifier. Upload an image of an Azure Jay, Bald Eagle, Jandaya Parakeet or a Shoebill to classify!")

iface.launch()