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No application file
charan
commited on
Commit
•
8e3e9e5
1
Parent(s):
af230e2
Deployment Ready
Browse files- CNN+LSTM.h5 +3 -0
- app.py +42 -0
- dockerfile +11 -0
- requirements.txt +45 -0
CNN+LSTM.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5930dc2a7cc10348608daea68450c70521a31a97bc803143a9b78b40bccec622
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size 81208
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app.py
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from flask import Flask, request, jsonify
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import numpy as np
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from keras.models import load_model
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app = Flask(__name__)
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# Load the trained model
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model = load_model('CNN+LSTM.h5')
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@app.route('/predict', methods=['POST'])
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def predict():
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try:
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# Get the data from the POST request
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data = request.get_json(force=True)
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# Convert data into numpy array and reshape for prediction
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data_array = np.array(data['data'])
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data_array = np.reshape(data_array, (data_array.shape[0], data_array.shape[1], 1))
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# Make prediction using the loaded model
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prediction = model.predict(data_array)
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labels=["Normal","Abnormal"]
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# Convert prediction to binary (0 or 1)
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prediction_binary = [1 if p >= 0.5 else 0 for p in prediction]
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# lables=["Normal","Abnormal"]
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# Return the prediction
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return jsonify({'prediction':labels[prediction_binary[0]]})
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except Exception as e:
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return jsonify({'error': str(e)})
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# # This is the entry point for AWS Lambda
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# def lambda_handler(event, context):
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# return awsgi.response(app, event, context)
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if __name__ == '__main__':
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# Save the model to a file
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model.save('CNN+LSTM.h5')
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# Run the Flask app
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app.run(debug=True)
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dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["gunicorn","-b","0.0.0.0:7860","app:app"]
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requirements.txt
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absl-py
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astunparse
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blinker
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botocore
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cachetools
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certifi
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charset-normalizer
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click
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colorama
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Flask
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flatbuffers
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gast
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google-auth
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google-auth-oauthlib
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google-pasta
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grpcio
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h5py
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idna
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itsdangerous
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Jinja2
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jmespath
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keras
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libclang
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Markdown
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MarkupSafe
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numpy
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oauthlib
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opt-einsum
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packaging
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protobuf
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pyasn1
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pyasn1-modules
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python-dateutil
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requests
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requests-oauthlib
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rsa
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s3transfer
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38 |
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six
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tensorflow
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termcolor
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typing_extensions
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urllib3
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Werkzeug
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wrapt
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gunicorn
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