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upload application and model
Browse files- .python-version +1 -0
- app.py +160 -0
- imgs/beethoven.jpg +0 -0
- imgs/belle.png +0 -0
- imgs/belmondo.jpg +0 -0
- imgs/dorothy.jpg +0 -0
- imgs/lassie.jpg +0 -0
- imgs/rintintin.jpg +0 -0
- requirements.txt +89 -0
- tf_model.h5 +3 -0
.python-version
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3.7.13
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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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model = tf.keras.models.load_model('tf_model.h5')
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print(model.summary())
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dogs_breeds = ['Chihuahua',
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'Japanese spaniel',
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'Maltese dog',
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'Pekinese',
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'Shih-Tzu',
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'Blenheim spaniel',
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'papillon',
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'toy terrier',
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'Rhodesian ridgeback',
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'Afghan hound',
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'basset',
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'beagle',
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'bloodhound',
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'bluetick',
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'black-and-tan coonhound',
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'Walker hound',
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'English foxhound',
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'redbone',
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'borzoi',
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'Irish wolfhound',
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'Italian greyhound',
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'whippet',
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'Ibizan hound',
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'Norwegian elkhound',
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'otterhound',
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'Saluki',
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'Scottish deerhound',
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'Weimaraner',
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'Staffordshire bullterrier',
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'American Staffordshire terrier',
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'Bedlington terrier',
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'Border terrier',
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'Kerry blue terrier',
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'Irish terrier',
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'Norfolk terrier',
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'Norwich terrier',
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'Yorkshire terrier',
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'wire-haired fox terrier',
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'Lakeland terrier',
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'Sealyham terrier',
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'Airedale',
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'cairn',
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'Australian terrier',
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'Dandie Dinmont',
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'Boston bull',
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'miniature schnauzer',
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'giant schnauzer',
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'standard schnauzer',
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'Scotch terrier',
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'Tibetan terrier',
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'silky terrier',
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'soft-coated wheaten terrier',
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'West Highland white terrier',
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'Lhasa',
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'flat-coated retriever',
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'curly-coated retriever',
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'golden retriever',
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'Labrador retriever',
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'Chesapeake Bay retriever',
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'German short-haired pointer',
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'vizsla',
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'English setter',
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'Irish setter',
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'Gordon setter',
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'Brittany spaniel',
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'clumber',
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'English springer',
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'Welsh springer spaniel',
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'cocker spaniel',
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'Sussex spaniel',
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'Irish water spaniel',
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'kuvasz',
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'schipperke',
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'groenendael',
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'malinois',
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'briard',
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'kelpie',
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'komondor',
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'Old English sheepdog',
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'Shetland sheepdog',
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'collie',
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'Border collie',
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'Bouvier des Flandres',
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'Rottweiler',
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'German shepherd',
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'Doberman',
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'miniature pinscher',
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'Greater Swiss Mountain dog',
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'Bernese mountain dog',
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'Appenzeller',
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'EntleBucher',
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'boxer',
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'bull mastiff',
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'Tibetan mastiff',
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'French bulldog',
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'Great Dane',
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'Saint Bernard',
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'Eskimo dog',
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'malamute',
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'Siberian husky',
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'affenpinscher',
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'basenji',
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'pug',
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'Leonberg',
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'Newfoundland',
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'Great Pyrenees',
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'Samoyed',
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'Pomeranian',
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'chow',
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'keeshond',
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'Brabancon griffon',
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'Pembroke',
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'Cardigan',
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'toy poodle',
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'miniature poodle',
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'standard poodle',
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'Mexican hairless',
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'dingo',
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'dhole',
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'African hunting dog']
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def predict(filepath):
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img = tf.io.read_file(filepath)
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tensor = tf.io.decode_image(img, channels=3, dtype=tf.dtypes.float32)
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tensor = tf.image.resize(tensor, [299, 299])
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input_tensor = tf.expand_dims(tensor, axis=0)
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output = model.predict(input_tensor)
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high_score = max(output[0])
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predicted_breed = dogs_breeds[list(output[0]).index(high_score)]
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return predicted_breed, high_score
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demo = gr.Interface(
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fn=predict,
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inputs=gr.Image(label='photo', type='filepath'),
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outputs=[
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gr.Label(label="Predicted breed"),
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gr.Label(label="Accuracy score")
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],
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examples=[
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'imgs/beethoven.jpg',
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'imgs/belle.png',
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'imgs/belmondo.jpg',
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'imgs/dorothy.jpg',
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'imgs/lassie.jpg',
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'imgs/rintintin.jpg'
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],
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title="Dog breed detection",
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description="The model was trained with [Stanford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/) using tensorflow/keras on a fine-tuned pre-trained InceptionResNetV2 model",
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article="You could also drag/drop other examples from [this page](https://www.rdasia.com/pets/can-you-guess-dog-breed-based-its-puppy-picture)")
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demo.launch()
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imgs/beethoven.jpg
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imgs/belle.png
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imgs/belmondo.jpg
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imgs/dorothy.jpg
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imgs/lassie.jpg
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imgs/rintintin.jpg
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requirements.txt
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absl-py==1.1.0
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aiohttp==3.8.1
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aiosignal==1.2.0
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analytics-python==1.4.0
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anyio==3.6.1
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astunparse==1.6.3
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async-timeout==4.0.2
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asynctest==0.13.0
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attrs==21.4.0
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backoff==1.10.0
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bcrypt==3.2.2
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cachetools==5.2.0
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certifi==2022.6.15
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cffi==1.15.0
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charset-normalizer==2.0.12
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click==8.1.3
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cryptography==37.0.2
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cycler==0.11.0
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fastapi==0.78.0
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ffmpy==0.3.0
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flatbuffers==1.12
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fonttools==4.33.3
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frozenlist==1.3.0
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fsspec==2022.5.0
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gast==0.4.0
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google-auth==2.8.0
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google-auth-oauthlib==0.4.6
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google-pasta==0.2.0
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gradio==3.0.20
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grpcio==1.47.0
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h11==0.13.0
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h5py==3.7.0
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idna==3.3
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importlib-metadata==4.12.0
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Jinja2==3.1.2
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keras==2.8.0
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Keras-Preprocessing==1.1.2
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kiwisolver==1.4.3
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libclang==14.0.1
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linkify-it-py==1.0.3
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Markdown==3.3.7
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markdown-it-py==2.1.0
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MarkupSafe==2.1.1
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matplotlib==3.5.2
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mdit-py-plugins==0.3.0
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mdurl==0.1.1
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monotonic==1.6
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multidict==6.0.2
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numpy==1.21.6
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oauthlib==3.2.0
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opt-einsum==3.3.0
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orjson==3.7.5
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packaging==21.3
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pandas==1.3.5
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paramiko==2.11.0
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Pillow==9.1.1
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protobuf==3.19.4
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pyasn1==0.4.8
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pyasn1-modules==0.2.8
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pycparser==2.21
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pycryptodome==3.15.0
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pydantic==1.9.1
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pydub==0.25.1
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PyNaCl==1.5.0
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pyparsing==3.0.9
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python-dateutil==2.8.2
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python-multipart==0.0.5
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pytz==2022.1
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requests==2.28.0
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requests-oauthlib==1.3.1
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rsa==4.8
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six==1.16.0
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sniffio==1.2.0
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starlette==0.19.1
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tensorboard==2.8.0
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tensorboard-data-server==0.6.1
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tensorboard-plugin-wit==1.8.1
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tensorflow==2.8.2
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tensorflow-estimator==2.8.0
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tensorflow-io-gcs-filesystem==0.26.0
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termcolor==1.1.0
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typing_extensions==4.2.0
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uc-micro-py==1.0.1
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urllib3==1.26.9
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uvicorn==0.18.2
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Werkzeug==2.1.2
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wrapt==1.14.1
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yarl==1.7.2
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zipp==3.8.0
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:73e923c10641dbb68b7c19eff7f91609a93a6f21724ce2d6c4094f4e2e5b5293
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size 363489560
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