.

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+COPY ./app.py /code/app.py
+COPY ./crop_model.pkl /code/crop_model.pkl
+COPY ./label_encoder.pkl /code/label_encoder.pkl
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app"]

app.py

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+import pandas as pd
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from sklearn.preprocessing import LabelEncoder
+from xgboost import XGBClassifier
+import joblib
+
+app = Flask(__name__)
+
+CORS(app)
+
+# Load the model and label encoder
+model = joblib.load('crop_model.pkl')
+label_encoder = joblib.load('label_encoder.pkl')
+
+
+# Define preprocessing function
+def preprocess_input(form_data):
+    """Ensure input data matches the model's requirements."""
+    required_columns = ['N', 'P', 'K', 'temperature', 'humidity', 'ph', 'rainfall']
+    input_data = pd.DataFrame([form_data], columns=required_columns)
+    return input_data
+
+
+# Define prediction function
+def predict(input_data):
+    """Predict the crop label for given input data."""
+    predictions = model.predict(input_data)
+    decoded_predictions = label_encoder.inverse_transform(predictions)
+    return decoded_predictions[0]
+
+
+@app.route('/predict', methods=['POST'])
+def get_prediction():
+    """Receive input data, preprocess, and return crop prediction."""
+    try:
+        print("here")
+        # Get the input JSON data from the request
+        form_data = request.json
+        print(form_data)
+
+        # Preprocess the input data
+        preprocessed_data = preprocess_input(form_data)
+
+        # Get the prediction from the model
+        predicted_label = predict(preprocessed_data)
+
+        print(predicted_label)
+
+        # Return the prediction as a JSON response
+        return jsonify({'crop': predicted_label})
+    except Exception as e:
+        return jsonify({'error': str(e)}), 400
+
+
+if __name__ == '__main__':
+    app.run(debug=True)

crop_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:72260ee7c0335c6c12f6db67b84bfff26816245a4a4da582024c76a0271cfd30
+size 1680738

label_encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:005f7e96ea3e09f640fba78c0494953dea9f949ae9b66de13b8e965c3a653e24
+size 829

requirements.txt

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+flask
+flask-cors
+pandas
+scikit-learn
+xgboost
+joblib
+gunicorn