| from flask import Flask, request, jsonify | |
| import tensorflow as tf | |
| import numpy as np | |
| model = tf.keras.models.load_model("model2.keras") | |
| app = Flask(__name__) | |
| def predict(): | |
| data = request.json | |
| inputs = np.array(data["features"]).reshape(1, -1) | |
| prediction = model.predict(inputs) | |
| return jsonify({"grade": int(prediction.argmax())}) | |
| app.run(host="0.0.0.0", port=7860) | |