Matej
commited on
Commit
•
369faf1
1
Parent(s):
87508dc
add app
Browse files- .gitignore +4 -0
- app.py +46 -0
- examples/molly.jpg +0 -0
- examples/nala.jpg +0 -0
- readme.txt +0 -0
- requirements.txt +97 -0
.gitignore
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.ipynb_checkpoints
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flagged
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model_checkpoints
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saved_model
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app.py
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import gradio as gr
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import tensorflow as tf
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from huggingface_hub import from_pretrained_keras
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from tensorflow.keras import mixed_precision
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# Load your trained models
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model = from_pretrained_keras("ml-debi/EfficientNetV2S-StanfordDogsA")
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# Add information about the models
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model_info = """
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### Model Information
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"""
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examples = [["./examples/nala.jpg"], ["./examples/molly.jpg"]]
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def preprocess(image):
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print("before resize", image.shape)
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image = tf.image.resize(image, [224, 224])
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image = tf.expand_dims(image, axis=0)
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print("After expanddims", image.shape)
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return image
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def predict(image):
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if mixed_precision.global_policy() == "mixed_float16":
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mixed_precision.set_global_policy(policy="float32")
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image = preprocess(image)
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print(mixed_precision.global_policy())
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prediction = model.predict(image)[0]
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print("model prediction", prediction)
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confidences = {model.config['id2label'][str(i)]: float(prediction[i]) for i in range(101)}
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return confidences
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iface = gr.Interface(
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fn=predict,
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inputs=[gr.Image()],
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outputs=[gr.Label(num_top_classes=5)],
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title="Dog Vision Mini Project",
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description=f"{model_info}\n",
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examples=examples
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)
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iface.launch()
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examples/molly.jpg
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examples/nala.jpg
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readme.txt
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requirements.txt
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absl-py==2.0.0
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aiofiles==23.2.1
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altair==5.1.2
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annotated-types==0.6.0
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anyio==3.7.1
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astunparse==1.6.3
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attrs==23.1.0
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cachetools==5.3.2
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certifi==2023.7.22
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charset-normalizer==3.3.2
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click==8.1.7
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colorama==0.4.6
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contourpy==1.2.0
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cycler==0.12.1
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exceptiongroup==1.1.3
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fastapi==0.104.1
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ffmpy==0.3.1
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filelock==3.13.1
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flatbuffers==23.5.26
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fonttools==4.44.0
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fsspec==2023.10.0
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gast==0.5.4
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google-auth==2.23.4
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google-auth-oauthlib==1.0.0
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google-pasta==0.2.0
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gradio==4.1.2
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gradio_client==0.7.0
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grpcio==1.59.2
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h11==0.14.0
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h5py==3.10.0
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httpcore==1.0.1
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httpx==0.25.1
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huggingface-hub==0.19.0
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idna==3.4
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importlib-metadata==6.8.0
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importlib-resources==6.1.1
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Jinja2==3.1.2
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jsonschema==4.19.2
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jsonschema-specifications==2023.7.1
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keras==2.14.0
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kiwisolver==1.4.5
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libclang==16.0.6
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Markdown==3.5.1
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markdown-it-py==3.0.0
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MarkupSafe==2.1.3
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matplotlib==3.8.1
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mdurl==0.1.2
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ml-dtypes==0.2.0
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numpy==1.26.1
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oauthlib==3.2.2
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opt-einsum==3.3.0
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orjson==3.9.10
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packaging==23.2
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pandas==2.1.2
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Pillow==10.1.0
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protobuf==4.25.0
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pyasn1==0.5.0
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pyasn1-modules==0.3.0
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pydantic==2.4.2
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pydantic_core==2.10.1
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pydub==0.25.1
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Pygments==2.16.1
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pyparsing==3.1.1
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python-dateutil==2.8.2
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python-multipart==0.0.6
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pytz==2023.3.post1
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PyYAML==6.0.1
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referencing==0.30.2
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requests==2.31.0
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requests-oauthlib==1.3.1
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rich==13.6.0
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rpds-py==0.12.0
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rsa==4.9
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.0
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starlette==0.27.0
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tensorboard==2.14.1
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tensorboard-data-server==0.7.2
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tensorflow==2.14.0
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tensorflow-estimator==2.14.0
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tensorflow-intel==2.14.0
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tensorflow-io-gcs-filesystem==0.31.0
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termcolor==2.3.0
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tomlkit==0.12.0
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toolz==0.12.0
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tqdm==4.66.1
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typer==0.9.0
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typing_extensions==4.8.0
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tzdata==2023.3
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urllib3==2.0.7
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uvicorn==0.24.0.post1
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websockets==11.0.3
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Werkzeug==3.0.1
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wrapt==1.14.1
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zipp==3.17.0
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