| import gradio as gr | |
| from tensorflow import image | |
| from keras import models | |
| import numpy as np | |
| from PIL import Image | |
| import pandas as pd | |
| # st.title("Animal Image :violet[Classifier] 🐶😺🐼") | |
| model = models.load_model("model.h5") | |
| pets = ["Cat", "Dog", "Panda"] | |
| def image_classifier(jpg): | |
| try: | |
| resize= image.resize(jpg,(256,256)) | |
| dim= np.expand_dims(resize, axis=0) | |
| pred= model.predict(dim) #[0.23, 0.987,0.546] | |
| arg= np.argmax(pred) # finds the maximum value and returns the index | |
| return pets[arg] | |
| except: | |
| return "Unsupported File Format" | |
| app = gr.Interface(title="Animal Image Classifier 😺🐶🐼",fn=image_classifier, inputs="image", outputs="label") | |
| app.launch() |