Spaces:
Runtime error
Runtime error
Commit
·
7d73e2a
1
Parent(s):
5e99f3f
Update app.py
Browse files
app.py
CHANGED
|
@@ -10,10 +10,7 @@ from tensorflow.nn import softmax
|
|
| 10 |
import numpy as np
|
| 11 |
from datetime import datetime
|
| 12 |
import logging
|
| 13 |
-
import
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
import gc
|
| 17 |
|
| 18 |
date = datetime.now().strftime(r"%Y-%m-%d")
|
| 19 |
model_classes = {
|
|
@@ -171,7 +168,7 @@ if st.button("Process", type="primary"):
|
|
| 171 |
for x in stqdm(range(len(text))):
|
| 172 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 173 |
label = np.argmax(tf_o, axis=0)
|
| 174 |
-
keys =
|
| 175 |
classes.append(keys.get(label))
|
| 176 |
output["sub theme"] = classes
|
| 177 |
del classification_token, classification_model
|
|
@@ -248,7 +245,7 @@ if st.button("Process", type="primary"):
|
|
| 248 |
for x in stqdm(range(len(text))):
|
| 249 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 250 |
label = np.argmax(tf_o, axis=0)
|
| 251 |
-
keys =
|
| 252 |
classes.append(keys.get(label))
|
| 253 |
output["sub theme"] = classes
|
| 254 |
del classification_token, classification_model
|
|
@@ -296,7 +293,7 @@ if st.button("Process", type="primary"):
|
|
| 296 |
keys = model_classes
|
| 297 |
classes.append(keys.get(label))
|
| 298 |
output["category"] = classes
|
| 299 |
-
del classification_token,classification_model
|
| 300 |
if sub_theme:
|
| 301 |
classification_token, classification_model = classify_sub_theme()
|
| 302 |
tf_batch = classification_token(
|
|
@@ -313,7 +310,7 @@ if st.button("Process", type="primary"):
|
|
| 313 |
for x in stqdm(range(len(text))):
|
| 314 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 315 |
label = np.argmax(tf_o, axis=0)
|
| 316 |
-
keys =
|
| 317 |
classes.append(keys.get(label))
|
| 318 |
output["sub theme"] = classes
|
| 319 |
del classification_token, classification_model
|
|
|
|
| 10 |
import numpy as np
|
| 11 |
from datetime import datetime
|
| 12 |
import logging
|
| 13 |
+
from constants import sub_themes_dict
|
|
|
|
|
|
|
|
|
|
| 14 |
|
| 15 |
date = datetime.now().strftime(r"%Y-%m-%d")
|
| 16 |
model_classes = {
|
|
|
|
| 168 |
for x in stqdm(range(len(text))):
|
| 169 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 170 |
label = np.argmax(tf_o, axis=0)
|
| 171 |
+
keys = sub_themes_dict
|
| 172 |
classes.append(keys.get(label))
|
| 173 |
output["sub theme"] = classes
|
| 174 |
del classification_token, classification_model
|
|
|
|
| 245 |
for x in stqdm(range(len(text))):
|
| 246 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 247 |
label = np.argmax(tf_o, axis=0)
|
| 248 |
+
keys = sub_themes_dict
|
| 249 |
classes.append(keys.get(label))
|
| 250 |
output["sub theme"] = classes
|
| 251 |
del classification_token, classification_model
|
|
|
|
| 293 |
keys = model_classes
|
| 294 |
classes.append(keys.get(label))
|
| 295 |
output["category"] = classes
|
| 296 |
+
del classification_token, classification_model
|
| 297 |
if sub_theme:
|
| 298 |
classification_token, classification_model = classify_sub_theme()
|
| 299 |
tf_batch = classification_token(
|
|
|
|
| 310 |
for x in stqdm(range(len(text))):
|
| 311 |
tf_o = softmax(tf_outputs["logits"][x], axis=-1)
|
| 312 |
label = np.argmax(tf_o, axis=0)
|
| 313 |
+
keys = sub_themes_dict
|
| 314 |
classes.append(keys.get(label))
|
| 315 |
output["sub theme"] = classes
|
| 316 |
del classification_token, classification_model
|