.ipynb_checkpoints/app-checkpoint.py

from flask import Flask, request, jsonify
from inference import load_model, classify_text

app = Flask(__name__)

# 加载模型
model, tokenizer = load_model()

@app.route('/predict', methods=['POST'])
def predict():
    data = request.json
    text = data.get("text", "")
    if not text:
        return jsonify({"error": "No text provided"}), 400
    # 进行推理
    prediction = classify_text(text, model, tokenizer)
    return jsonify({"result": prediction})

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