python.txt

# run_api.py
from flask import Flask, request, jsonify
import joblib

app = Flask(__name__)
model = joblib.load("logreg_model.pkl")
vectorizer = joblib.load("tfidf_vectorizer.pkl")

@app.route("/classify", methods=["POST"])
def classify():
    data = request.get_json()
    text = data.get("purpose_text", "")
    if not text:
        return jsonify({"error": "Empty input"}), 400

    cleaned = preprocess_text(text)
    vec = vectorizer.transform([cleaned])
    prediction = model.predict(vec)[0]
    return jsonify({"predicted_type": prediction})

if __name__ == "__main__":
    app.run(debug=True)