File size: 445 Bytes
a250fb9
790c0dc
f70a848
71c537b
f70a848
71c537b
 
 
 
88462ff
8592426
dae5612
0a0d05c
1fe6c7c
8592426
 
1fe6c7c
71c537b
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
from flask import Flask, request
from inference import predict, predict_general

app = Flask(__name__)

@app.route("/")
def index():
  return {"output": "Hello, world!"}
  
@app.route("/predict/<text>")
def predict_sentiment(text):
  return predict(text)[0]
  
@app.route("/predictSentimentGeneral/<text>")
def predict_sentiment_general(text):
  return predict_general(text)[0]
  
if __name__ == "__main__":
  app.run(host="0.0.0.0", port=7860)