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Update app.py
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app.py
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@@ -167,7 +167,7 @@ from random import random
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def text_processing_for_domain(text):
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# First, get the summarized text
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summarized_text = ""
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summarized_text = Summarized_text(text)
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# Then, lemmatize the original text
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lemmatized_text = ""
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@@ -200,9 +200,7 @@ from collections import Counter
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def extract_problem_domains(df,
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text_column='Processed_ProblemDescription_forDomainExtraction',
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cluster_range=(5, 15),
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top_words=10
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method='sentence_transformers'
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):
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console_messages.append("Extracting Problem Domains...")
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# Sentence Transformers approach
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@@ -325,7 +323,9 @@ def process_excel(file):
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# '#TaxDirection (Responses)_UltimateExample.xlsx'
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# ]
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example_files = ['#TaxDirection (Responses)_BasicExample.xlsx',
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import random
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def text_processing_for_domain(text):
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# First, get the summarized text
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summarized_text = ""
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# summarized_text = Summarized_text(text)
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# Then, lemmatize the original text
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lemmatized_text = ""
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def extract_problem_domains(df,
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text_column='Processed_ProblemDescription_forDomainExtraction',
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cluster_range=(5, 15),
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top_words=10):
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console_messages.append("Extracting Problem Domains...")
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# Sentence Transformers approach
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# '#TaxDirection (Responses)_UltimateExample.xlsx'
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# ]
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example_files = ['#TaxDirection (Responses)_BasicExample.xlsx',
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'#TaxDirection (Responses)_IntermediateExample.xlsx',
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]
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import random
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