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irrelevant-content-detection

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alpcansoydas commited on Aug 7

Commit

9ccf0ee

•

1 Parent(s): a08048c

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -48,7 +48,7 @@ def classify_text(text, company_name_input, company_sector_input, about_company_
         input_variables=["TEXT", "COMPANY_NAME", "COMPANY_SECTOR", "ABOUT_COMPANY"]
     )
     formatted_prompt = prompt_classify.format(TEXT=text,
-                                              COMPANY_NAME=company_name_input
                                               COMPANY_SECTOR=company_sector_input,
                                               ABOUT_COMPANY=about_company_input
                                              )
@@ -70,8 +70,8 @@ def classify_text(text, company_name_input, company_sector_input, about_company_
     return parsed_output, duration #['Answer']
 # Create the Gradio interface
-def gradio_app(text):
-    classification, time_taken = classify_text(text)
     return classification, f"Time taken: {time_taken:.2f} seconds"
 def create_gradio_interface():

         input_variables=["TEXT", "COMPANY_NAME", "COMPANY_SECTOR", "ABOUT_COMPANY"]
     )
     formatted_prompt = prompt_classify.format(TEXT=text,
+                                              COMPANY_NAME=company_name_input,
                                               COMPANY_SECTOR=company_sector_input,
                                               ABOUT_COMPANY=about_company_input
                                              )
     return parsed_output, duration #['Answer']
 # Create the Gradio interface
+def gradio_app(text, company_name_input, company_sector_input, about_company_input):
+    classification, time_taken = classify_text(text, company_name_input, company_sector_input, about_company_input)
     return classification, f"Time taken: {time_taken:.2f} seconds"
 def create_gradio_interface():