Create app.py

app.py

@@ -0,0 +1,16 @@
+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__)
+
+@app.route("/predict", methods=["POST"])
+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)