Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -14,19 +14,15 @@ def preprocess(text):
|
|
14 |
return " ".join(new_text)
|
15 |
|
16 |
|
17 |
-
def get_top_emojis(text, top_n=TOP_N):
|
18 |
preprocessed = preprocess(text)
|
19 |
inputs = tokenizer(preprocessed, return_tensors="pt")
|
20 |
preds = model(**inputs).logits
|
21 |
scores = torch.nn.functional.softmax(preds, dim=-1).detach().numpy()
|
22 |
ranking = np.argsort(scores)
|
23 |
-
print(ranking)
|
24 |
ranking = ranking.squeeze()[::-1][:top_n]
|
25 |
-
print(scores)
|
26 |
-
print(ranking)
|
27 |
-
print(model.config.id2label)
|
28 |
emojis = [model.config.id2label[i] for i in ranking]
|
29 |
-
return '
|
30 |
|
31 |
def main():
|
32 |
|
@@ -62,7 +58,7 @@ def main():
|
|
62 |
# Define function to run when submit is clicked
|
63 |
def submit(message):
|
64 |
if len(message) > 0:
|
65 |
-
st.header(get_top_emojis(message))
|
66 |
else:
|
67 |
st.error("The text can't be empty")
|
68 |
|
|
|
14 |
return " ".join(new_text)
|
15 |
|
16 |
|
17 |
+
def get_top_emojis(text, tokenizer, top_n=TOP_N):
|
18 |
preprocessed = preprocess(text)
|
19 |
inputs = tokenizer(preprocessed, return_tensors="pt")
|
20 |
preds = model(**inputs).logits
|
21 |
scores = torch.nn.functional.softmax(preds, dim=-1).detach().numpy()
|
22 |
ranking = np.argsort(scores)
|
|
|
23 |
ranking = ranking.squeeze()[::-1][:top_n]
|
|
|
|
|
|
|
24 |
emojis = [model.config.id2label[i] for i in ranking]
|
25 |
+
return '\t'.join(map(str, emojis))
|
26 |
|
27 |
def main():
|
28 |
|
|
|
58 |
# Define function to run when submit is clicked
|
59 |
def submit(message):
|
60 |
if len(message) > 0:
|
61 |
+
st.header(get_top_emojis(message, tokenizer=tokenizer))
|
62 |
else:
|
63 |
st.error("The text can't be empty")
|
64 |
|