Spaces:
Build error
Build error
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from flask import Flask, request, jsonify, render_template
|
2 |
+
from backend_utils import initialize_all_components, make_predictions
|
3 |
+
from config import classifier_class_mapping, config
|
4 |
+
# from flask_cors import CORS, cross_origin
|
5 |
+
import json
|
6 |
+
|
7 |
+
|
8 |
+
# todo: downgrade version sklearn to 1.0.2
|
9 |
+
|
10 |
+
app = Flask(__name__)
|
11 |
+
# CORS(app)
|
12 |
+
components = initialize_all_components(config)
|
13 |
+
db_metadata = components[0]
|
14 |
+
db_constructor = components[1]
|
15 |
+
model_retrieval = components[2]
|
16 |
+
model_generative = components[3]
|
17 |
+
tokenizer_generative = components[4]
|
18 |
+
model_classifier = components[5]
|
19 |
+
classifier_head = components[6]
|
20 |
+
tokenizer_classifier = components[7]
|
21 |
+
|
22 |
+
def call_predict_api(
|
23 |
+
input_query,
|
24 |
+
model_retrieval,
|
25 |
+
model_generative,
|
26 |
+
model_classifier, classifier_head,
|
27 |
+
tokenizer_generative, tokenizer_classifier,
|
28 |
+
db_metadata, db_constructor,
|
29 |
+
config
|
30 |
+
):
|
31 |
+
'''
|
32 |
+
wrapper to the make prediction function
|
33 |
+
'''
|
34 |
+
predictions = make_predictions(
|
35 |
+
input_query,
|
36 |
+
model_retrieval,
|
37 |
+
model_generative,
|
38 |
+
model_classifier, classifier_head,
|
39 |
+
tokenizer_generative, tokenizer_classifier,
|
40 |
+
db_metadata, db_constructor,
|
41 |
+
config
|
42 |
+
)
|
43 |
+
return predictions
|
44 |
+
|
45 |
+
@app.route("/")
|
46 |
+
def hello_world():
|
47 |
+
return render_template("index.html")
|
48 |
+
|
49 |
+
@app.route('/predict', methods=['POST'])
|
50 |
+
def predict():
|
51 |
+
request_data = request.get_json()
|
52 |
+
user_query = request_data.get('user_query', None)
|
53 |
+
|
54 |
+
if user_query != None:
|
55 |
+
predictions = call_predict_api(
|
56 |
+
user_query,
|
57 |
+
model_retrieval,
|
58 |
+
model_generative,
|
59 |
+
model_classifier, classifier_head,
|
60 |
+
tokenizer_generative, tokenizer_classifier,
|
61 |
+
db_metadata, db_constructor,
|
62 |
+
config
|
63 |
+
)
|
64 |
+
with open("prediction.txt", 'w') as f:
|
65 |
+
json.dump(predictions, f)
|
66 |
+
return {
|
67 |
+
'predictions': predictions
|
68 |
+
}
|
69 |
+
|
70 |
+
if __name__ == '__main__':
|
71 |
+
app.run(host="0.0.0.0", port=7860)
|