File size: 911 Bytes
e12cd77 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
from flask import Flask, request, jsonify
from transformers import pipeline
from langdetect import detect
app = Flask(__name__)
# load models
hebrew_model = pipeline("text-generation", model="onlplab/alephbertgpt")
english_model = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct")
@app.route("/generate", methods=["POST"])
def generate():
data = request.json
text = data.get("text", "")
# detect language
language = detect(text)
if language == 'he':
model = hebrew_model
elif language == 'en':
model = english_model
else:
print("Decision Making Helper BOT currently supports Hebrew and English Languages")
# create an answer from the model
response = model(text, max_length=100, do_sample=True)
return jsonify({"response": response[0]['generated_text']})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
|