Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -167,7 +167,7 @@ from random import random
|
|
167 |
def text_processing_for_domain(text):
|
168 |
# First, get the summarized text
|
169 |
summarized_text = ""
|
170 |
-
summarized_text = Summarized_text(text)
|
171 |
|
172 |
# Then, lemmatize the original text
|
173 |
lemmatized_text = ""
|
@@ -200,9 +200,7 @@ from collections import Counter
|
|
200 |
def extract_problem_domains(df,
|
201 |
text_column='Processed_ProblemDescription_forDomainExtraction',
|
202 |
cluster_range=(5, 15),
|
203 |
-
top_words=10
|
204 |
-
method='sentence_transformers'
|
205 |
-
):
|
206 |
console_messages.append("Extracting Problem Domains...")
|
207 |
|
208 |
# Sentence Transformers approach
|
@@ -325,7 +323,9 @@ def process_excel(file):
|
|
325 |
# '#TaxDirection (Responses)_UltimateExample.xlsx'
|
326 |
# ]
|
327 |
|
328 |
-
example_files = ['#TaxDirection (Responses)_BasicExample.xlsx',
|
|
|
|
|
329 |
|
330 |
|
331 |
import random
|
|
|
167 |
def text_processing_for_domain(text):
|
168 |
# First, get the summarized text
|
169 |
summarized_text = ""
|
170 |
+
# summarized_text = Summarized_text(text)
|
171 |
|
172 |
# Then, lemmatize the original text
|
173 |
lemmatized_text = ""
|
|
|
200 |
def extract_problem_domains(df,
|
201 |
text_column='Processed_ProblemDescription_forDomainExtraction',
|
202 |
cluster_range=(5, 15),
|
203 |
+
top_words=10):
|
|
|
|
|
204 |
console_messages.append("Extracting Problem Domains...")
|
205 |
|
206 |
# Sentence Transformers approach
|
|
|
323 |
# '#TaxDirection (Responses)_UltimateExample.xlsx'
|
324 |
# ]
|
325 |
|
326 |
+
example_files = ['#TaxDirection (Responses)_BasicExample.xlsx',
|
327 |
+
'#TaxDirection (Responses)_IntermediateExample.xlsx',
|
328 |
+
]
|
329 |
|
330 |
|
331 |
import random
|