APi calls

main_image.py

+import numpy as np
+from flask import Flask, jsonify, request, render_template
+from pyexpat import model
+from xmlrpc.client import boolean
+from flask import Flask
+import pickle
+from flask_cors import CORS, cross_origin
+from flask_restful import Api, Resource
+
+import imageDiseaseAPI
+
+app = Flask(__name__)
+
+
+@app.route("/image_disease", methods=["GET"])
+# def prediction(api_data):
+def prediction():
+    # image1 = request.get_json()
+
+    image1 = 'image_name_5'
+
+    # print(image1)
+    #Disease = imageDiseaseAPI.predict(image1)
+    Disease = imageDiseaseAPI.predict()
+
+    if Disease == '[[0.27964538 0.25150934 0.04603015 0.04416401 0.03723199 0.026214990.03327395 0.2819302 ]]':
+        discount = 10
+
+    elif Disease == '[[0.27964538 0.25150934 0.04603015 0.04416401 0.03723199 0.02621499\n0.03327395 0.2819302 ]]':
+        discount = 5
+
+    elif Disease == '[[0.27964538 0.25150934 0.04603015 0.04416401 0.03723199 0.02621499\n  0.03327395 0.2819302 ]]':
+        discount = 2
+
+    else:
+        discount = 0
+
+    return jsonify(discount)
+
+
+if __name__ == '__main__':
+    app.run(debug=True)