Create app.py

app.py

@@ -0,0 +1,31 @@
+import tensorflow as tf
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+# Load the model
+model = tf.keras.models.load_model('Erfan11/Neuracraft')
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    data = request.get_json()
+    # Preprocess input data
+    inputs = preprocess_data(data)
+    # Make prediction
+    predictions = model.predict(inputs)
+    # Postprocess and return results
+    results = postprocess_predictions(predictions)
+    return jsonify(results)
+
+def preprocess_data(data):
+    # Implement your data preprocessing here
+    pass
+
+def postprocess_predictions(predictions):
+    # Implement your result postprocessing here
+    pass
+
+if __name__ == '__main__':
+    app.run(debug=True)
+    ## API Endpoints
+- **POST /predict**: Receives JSON data, returns model predictions.