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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() |