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from flask import Flask, request, jsonify
from flask_cors import CORS
from transformers import AutoModelForSequenceClassification, AutoTokenizer, TextClassificationPipeline
app = Flask(__name__)
CORS(app)
model_path = "textdetox/xlmr-large-toxicity-classifier"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForSequenceClassification.from_pretrained(model_path)
pipeline = TextClassificationPipeline(model=model, tokenizer=tokenizer)
@app.route("/predict", methods=["POST"])
def predict():
data = request.get_json()
text = data.get("text", "")
if not text:
return jsonify({"error": "No text provided"}), 400
result = pipeline(text)[0]
return jsonify({"label": result["label"]})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
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