deploy flask

Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY . .
+
+RUN pip install -r requirements.txt
+
+EXPOSE 7860
+
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, request, jsonify
+import pickle
+import numpy as np
+import joblib
+
+app = Flask(__name__)
+
+# Load model
+model = joblib.load("models/model.pkl")
+
+@app.route("/")
+def home():
+    return "API Iris Flower Ready!"
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    data = request.json
+    features = np.array(data["features"]).reshape(1, -1)
+    prediction = model.predict(features)[0]
+    return jsonify({"prediction": prediction})

models/model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:39b5e9474ff8e310399feea6d24c547b95f8af258cbcbdfe86a91d659755dabd
+size 3329

requirements.txt

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+flask
+numpy
+scikit-learn
+joblib
+flask-cors
+gunicorn