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b80f6c0
1
Parent(s):
1ecb4eb
Upload 6 files
Browse files- Cat.jpg +0 -0
- Dog.jpg +0 -0
- Rabbit.jpg +0 -0
- app.py +26 -0
- classifier.tflite +3 -0
- requirements.txt +2 -0
Cat.jpg
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Dog.jpg
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Rabbit.jpg
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app.py
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import tensorflow as tf
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import gradio as gr
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CLASS_NAMES = ['Cat', 'Dog', 'Rabbit']
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# Load and initialize tf lite model
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interpreter = tf.lite.Interpreter(model_path="classifier.tflite")
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interpreter.allocate_tensors()
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input_details = interpreter.get_input_details()
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output_details = interpreter.get_output_details()
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input_shape = input_details[0]['shape']
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def classify_image(image):
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image = tf.image.resize(image, (224, 224))
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input_data = tf.expand_dims(image, axis=0)
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interpreter.set_tensor(input_details[0]['index'], input_data)
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interpreter.invoke()
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predictions = interpreter.get_tensor(output_details[0]['index']).ravel()
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confidences = {CLASS_NAMES[i]: float(predictions[i]) for i in range(len(CLASS_NAMES))}
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return confidences
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gr.Interface(fn=classify_image,
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inputs=gr.Image(shape=(224,224)),
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outputs=gr.Label(num_top_classes=3),
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examples=['Cat.jpg', 'Dog.jpg', 'Rabbit.jpg'],
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cache_examples=True).launch()
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classifier.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:83016276ad0a48c1f589139d68fd18ad12b0b210cac0ffe0979420cacc03070b
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size 16064232
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requirements.txt
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tensorflow==2.8.4
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gradio==3.16.2
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