Projekt_IO/main.py

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from flask import Flask, request, jsonify, session
from cat_detection import is_cat
# Define flask app
app = Flask(__name__)
app.secret_key = 'secret_key'
@app.route('/detect-cat', methods=['POST'])
def upload_file():
# 'Key' in body should be named as 'image'. Type should be 'File' and in 'Value' we should upload image from disc.
file = request.files['image']
if file.filename == '':
return jsonify({'error': "File name is empty. Please name a file."}), 400
max_class, max_prob = is_cat(file)
# Save result in session
session['result'] = max_class, max_prob
# Tworzenie komunikatu na podstawie wyniku analizy zdjęcia
translator = {
281: "tabby cat",
282: "tiger cat",
283: "persian cat",
284: "siamese cat",
285: "egyptian cat"
}
if max_prob is not None:
result = f"The image is recognized as '{translator[max_class]}' with a probability of {round(max_prob * 100, 2)}%"
else:
result = f"The image is not recognized as a class within the range 281-285 ({max_class})"
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return jsonify({'result': result}), 200
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if __name__ == '__main__':
app.run(debug=True)