Update app.py
Browse files
app.py
CHANGED
@@ -7,12 +7,13 @@ from transformers import AutoModelForSequenceClassification
|
|
7 |
|
8 |
#####################
|
9 |
|
10 |
-
|
|
|
|
|
11 |
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
model=model_id)
|
16 |
|
17 |
#####################
|
18 |
|
@@ -21,6 +22,8 @@ st.title('Diagn贸stico de Trastornos Mentales')
|
|
21 |
sintomas = st.text_input(label = 'Introduce s铆ntomas',
|
22 |
value = 'Nadie me quiere')
|
23 |
|
24 |
-
|
|
|
25 |
|
26 |
-
st.markdown(
|
|
|
|
7 |
|
8 |
#####################
|
9 |
|
10 |
+
model_berto='hackathon-somos-nlp-2023/DiagTrast-Berto'
|
11 |
+
tokenizer_berto = AutoTokenizer.from_pretrained(model_berto)
|
12 |
+
classifier_berto = pipeline("text-classification", model=model_berto)
|
13 |
|
14 |
+
model_xml='hackathon-somos-nlp-2023/DiagTrast-Berto'
|
15 |
+
tokenizer_xml = AutoTokenizer.from_pretrained(model_xml)
|
16 |
+
classifier_xml = pipeline("text-classification", model=model_xml)
|
|
|
17 |
|
18 |
#####################
|
19 |
|
|
|
22 |
sintomas = st.text_input(label = 'Introduce s铆ntomas',
|
23 |
value = 'Nadie me quiere')
|
24 |
|
25 |
+
pred_berto = classifier_berto(utils.clean_text(sintomas))
|
26 |
+
pred_xml = classifier_xml(utils.clean_text(sintomas))
|
27 |
|
28 |
+
st.markdown('Predicci贸n BERTO: 'pred_berto[0]['label'])
|
29 |
+
st.markdown('Predicci贸n xml: 'pred_xml[0]['label'])
|