Spaces:
Running
Running
start analysis button, bug fixes, authentication
Browse files- .gitignore +4 -1
- app.py +46 -21
- logs/app.log +0 -103
- modules/utils.py +7 -2
.gitignore
CHANGED
@@ -4,4 +4,7 @@
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*.xlsx
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/testing/
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/modules/__pycache__/
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/logs/
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*.xlsx
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/testing/
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/modules/__pycache__/
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/logs/
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app.log
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logs
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logs/
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app.py
CHANGED
@@ -34,7 +34,7 @@ load_dotenv()
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def main():
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# Temporarily set authentication to True for testing
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if 'authenticated' not in st.session_state:
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st.session_state['authenticated'] =
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if st.session_state['authenticated']:
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# Remove login success message for testing
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@@ -88,7 +88,8 @@ def main():
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applications being filtered out. At the same time, this also \
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increases the probability of false negatives (FNs). The rate of \
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FNs at the lowest setting is approximately 6 percent, and \
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approaches 13 percent at the highest setting.
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options = list(sens_options.keys()),
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horizontal = False)
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@@ -108,54 +109,78 @@ def main():
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uploaded_file = st.file_uploader("Select a file containing MAF application pre-filtering data (see instructions in the sidebar)")
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if
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try:
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logger.info(f"File uploaded: {uploaded_file.name}")
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if not st.session_state['data_processed']:
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logger.info("Starting data processing")
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try:
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st.session_state['df'] = process_data(uploaded_file, sens_level)
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logger.info("Data processing completed successfully")
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st.session_state['data_processed'] = True
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except Exception as e:
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logger.error(f"Error in process_data: {str(e)}")
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raise
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df = st.session_state['df']
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# Get the current date
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current_datetime = datetime.now().strftime('%d-%m-%Y_%H-%M-%S')
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output_filename = f'processed_applications_{current_datetime}.csv'
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# Convert DataFrame to CSV string buffer instead of file
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csv_buffer = df.to_csv(index=False).encode()
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logger.info("CSV buffer created successfully")
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st.download_button(
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label="Download data as CSV",
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data=csv_buffer,
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file_name=output_filename,
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mime='text/csv',
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)
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except Exception as e:
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logger.error(f"Error processing file: {str(e)}")
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st.error("Failed to process the file. Please ensure your column names match the template file.")
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# Comment out or remove the else block containing login form
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main()
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def main():
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# Temporarily set authentication to True for testing
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if 'authenticated' not in st.session_state:
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st.session_state['authenticated'] = False
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if st.session_state['authenticated']:
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# Remove login success message for testing
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applications being filtered out. At the same time, this also \
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increases the probability of false negatives (FNs). The rate of \
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FNs at the lowest setting is approximately 6 percent, and \
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+
approaches 13 percent at the highest setting. \
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NOTE: changing this setting does not affect the raw data in the CSV output file (only the REVIEW/REJECT labels)',
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options = list(sens_options.keys()),
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horizontal = False)
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uploaded_file = st.file_uploader("Select a file containing MAF application pre-filtering data (see instructions in the sidebar)")
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# Add session state variables if they don't exist
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if 'show_button' not in st.session_state:
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st.session_state['show_button'] = True
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if 'processing' not in st.session_state:
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st.session_state['processing'] = False
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if 'data_processed' not in st.session_state:
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st.session_state['data_processed'] = False
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# Only show the button if show_button is True and file is uploaded and not processing
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if uploaded_file is not None and st.session_state['show_button'] and not st.session_state['processing']:
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if st.button("Start Analysis", key="start_analysis"):
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st.session_state['show_button'] = False
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st.session_state['processing'] = True
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st.rerun()
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# If we're processing, show the processing logic
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if st.session_state['processing']:
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try:
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logger.info(f"File uploaded: {uploaded_file.name}")
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if not st.session_state['data_processed']:
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logger.info("Starting data processing...")
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try:
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st.session_state['df'] = process_data(uploaded_file, sens_level)
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logger.info("Data processing completed successfully")
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st.session_state['data_processed'] = True
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except Exception as e:
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logger.error(f"Error in process_data: {str(e)}")
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raise
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df = st.session_state['df']
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logger.info(f"DataFrame columns: {list(df.columns)}")
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logger.info(f"DataFrame shape: {df.shape}")
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current_datetime = datetime.now().strftime('%d-%m-%Y_%H-%M-%S')
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output_filename = f'processed_applications_{current_datetime}.csv'
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csv_buffer = df.to_csv(index=False).encode()
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logger.info("CSV buffer created successfully")
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def reset_button_state():
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st.session_state['show_button'] = True
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st.session_state['processing'] = False
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st.session_state['data_processed'] = False
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st.download_button(
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label="Download data as CSV",
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data=csv_buffer,
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file_name=output_filename,
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mime='text/csv',
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on_click=reset_button_state
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)
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except Exception as e:
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logger.error(f"Error processing file: {str(e)}")
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st.error("Failed to process the file. Please ensure your column names match the template file.")
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st.session_state['show_button'] = True
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st.session_state['processing'] = False
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st.rerun()
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# Comment out or remove the else block containing login form
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else:
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username = st.text_input("Username")
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password = st.text_input("Password", type="password")
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if st.button("Login"):
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if validate_login(username, password):
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st.session_state['authenticated'] = True
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st.rerun()
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else:
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st.error("Incorrect username or password")
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main()
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logs/app.log
DELETED
@@ -1,103 +0,0 @@
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2025-02-04 20:16:29,467 - datasets - INFO - PyTorch version 2.5.1 available.
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2025-02-04 20:16:31,199 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:16:37,895 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:16:38,062 - modules.utils - INFO - T1 df import
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2025-02-04 20:16:38,062 - modules.utils - INFO - T2 columns renamed
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2025-02-04 20:16:38,249 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:16:38,249 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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2025-02-04 20:16:44,645 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:16:44,645 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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2025-02-04 20:16:49,350 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:16:49,350 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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2025-02-04 20:16:55,639 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:16:55,639 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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2025-02-04 20:17:00,538 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:17:00,539 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_fin_lab2
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2025-02-04 20:21:02,708 - datasets - INFO - PyTorch version 2.5.1 available.
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2025-02-04 20:21:05,106 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:21:10,682 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:21:10,849 - modules.utils - INFO - T1 df import
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2025-02-04 20:21:10,850 - modules.utils - INFO - T2 columns renamed
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2025-02-04 20:21:10,994 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:21:10,994 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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2025-02-04 20:21:17,001 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:21:17,001 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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2025-02-04 20:21:21,035 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:21:21,035 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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2025-02-04 20:21:27,247 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:21:27,247 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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-
2025-02-04 20:21:31,121 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:21:31,121 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_fin_lab2
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2025-02-04 20:23:19,122 - datasets - INFO - PyTorch version 2.5.1 available.
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2025-02-04 20:23:21,471 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:23:26,565 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:23:26,732 - modules.utils - INFO - T1 df import
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2025-02-04 20:23:26,732 - modules.utils - INFO - T2 columns renamed
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-
2025-02-04 20:23:26,875 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:23:26,875 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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-
2025-02-04 20:23:30,614 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:23:30,614 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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-
2025-02-04 20:23:33,378 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:23:33,378 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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-
2025-02-04 20:23:37,329 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:23:37,329 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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-
2025-02-04 20:23:41,129 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:23:41,130 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_fin_lab2
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-
2025-02-04 20:26:27,528 - datasets - INFO - PyTorch version 2.5.1 available.
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-
2025-02-04 20:26:29,749 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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-
2025-02-04 20:26:35,354 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:26:35,512 - __main__ - INFO - File uploaded: MAF_2024_TEST2.xlsx
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2025-02-04 20:26:35,513 - __main__ - INFO - Starting data processing...
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2025-02-04 20:26:35,519 - modules.utils - INFO - T1 df import
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-
2025-02-04 20:26:35,520 - modules.utils - INFO - T2 columns renamed
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-
2025-02-04 20:26:35,658 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:26:35,658 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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-
2025-02-04 20:26:39,590 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:26:39,591 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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-
2025-02-04 20:26:43,283 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:26:43,283 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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-
2025-02-04 20:26:47,454 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:26:47,455 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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-
2025-02-04 20:26:50,569 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:26:50,569 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_fin_lab2
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-
2025-02-04 20:27:00,137 - __main__ - ERROR - Error in process_data: Cannot set a DataFrame with multiple columns to the single column pred_score
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2025-02-04 20:27:00,138 - __main__ - ERROR - Error processing file: Cannot set a DataFrame with multiple columns to the single column pred_score
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2025-02-04 20:31:19,620 - datasets - INFO - PyTorch version 2.5.1 available.
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-
2025-02-04 20:31:21,779 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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-
2025-02-04 20:31:26,273 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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-
2025-02-04 20:31:26,432 - __main__ - INFO - File uploaded: MAF_2024_TEST2.xlsx
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2025-02-04 20:31:26,433 - __main__ - INFO - Starting data processing...
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2025-02-04 20:31:26,439 - modules.utils - INFO - T1 df import
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2025-02-04 20:31:26,440 - modules.utils - INFO - T2 columns renamed
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2025-02-04 20:31:26,563 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:31:26,563 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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-
2025-02-04 20:31:30,934 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:31:30,935 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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-
2025-02-04 20:31:33,839 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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-
2025-02-04 20:31:33,839 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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-
2025-02-04 20:31:37,942 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:31:37,942 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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2025-02-04 20:31:41,885 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:31:41,886 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_fin_lab2
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2025-02-04 20:31:51,715 - __main__ - INFO - Data processing completed successfully
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2025-02-04 20:31:51,715 - __main__ - INFO - DataFrame columns: ['id', 'scope_txt', 'tech_txt', 'fin_txt', 'maf_funding', 'cont_public', 'cont_private', 'cont_other', 'scope_lab1', 'scope_lab2', 'tech_lab1', 'tech_lab3', 'fin_lab2', 'ADAPMIT', 'SECTOR1', 'SECTOR2', 'LANG', 'lev_total', 'lev_gt_0', 'lev_maf_%', 'lev_maf_scale', 'pred_score', 'pred_action']
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2025-02-04 20:31:51,715 - __main__ - INFO - DataFrame shape: (14, 23)
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2025-02-04 20:31:51,718 - __main__ - INFO - CSV buffer created successfully
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2025-02-04 20:31:56,984 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:31:57,147 - __main__ - INFO - File uploaded: MAF_2024_TEST2.xlsx
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2025-02-04 20:31:57,148 - __main__ - INFO - DataFrame columns: ['id', 'scope_txt', 'tech_txt', 'fin_txt', 'maf_funding', 'cont_public', 'cont_private', 'cont_other', 'scope_lab1', 'scope_lab2', 'tech_lab1', 'tech_lab3', 'fin_lab2', 'ADAPMIT', 'SECTOR1', 'SECTOR2', 'LANG', 'lev_total', 'lev_gt_0', 'lev_maf_%', 'lev_maf_scale', 'pred_score', 'pred_action']
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2025-02-04 20:31:57,148 - __main__ - INFO - DataFrame shape: (14, 23)
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2025-02-04 20:31:57,150 - __main__ - INFO - CSV buffer created successfully
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2025-02-04 20:33:58,763 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:34:06,910 - huggingface_hub._login - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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2025-02-04 20:34:07,067 - __main__ - INFO - File uploaded: MAF_2024_FULL.xlsx
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2025-02-04 20:34:07,068 - __main__ - INFO - Starting data processing
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2025-02-04 20:34:07,121 - modules.utils - INFO - data import successful
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2025-02-04 20:34:07,673 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:34:07,675 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab1
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2025-02-04 20:34:59,028 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:34:59,028 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_scope_lab2
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2025-02-04 20:35:25,589 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:35:25,589 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab1
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2025-02-04 20:36:08,932 - sentence_transformers.SentenceTransformer - INFO - Use pytorch device_name: mps
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2025-02-04 20:36:08,933 - sentence_transformers.SentenceTransformer - INFO - Load pretrained SentenceTransformer: mtyrrell/classifier_SF_tech_lab3
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modules/utils.py
CHANGED
@@ -176,9 +176,14 @@ def process_data(uploaded_file, sens_level):
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steps_remaining = total_steps - step_count
|
177 |
if step_count > 1:
|
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estimated_time_remaining = (elapsed_time / step_count) * steps_remaining
|
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-
estimated_time_remaining_text.
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|
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else:
|
181 |
-
estimated_time_remaining_text.write(f'Calculating time remaining... (step {step_count+1} of
|
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|
183 |
model_processing_text.empty()
|
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|
176 |
steps_remaining = total_steps - step_count
|
177 |
if step_count > 1:
|
178 |
estimated_time_remaining = (elapsed_time / step_count) * steps_remaining
|
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+
estimated_time_remaining_text.markdown(
|
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+
f"Elapsed time: {elapsed_time:.1f}s. "
|
181 |
+
f"Estimated time remaining: {estimated_time_remaining:.1f}s"
|
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+
f" (step {step_count+1} of {len(model_names)})"
|
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+
)
|
184 |
+
# estimated_time_remaining_text.write(f'Estimated Time Remaining: {estimated_time_remaining:.0f} seconds (step {step_count+1} of 9)')
|
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else:
|
186 |
+
estimated_time_remaining_text.write(f'Calculating time remaining... (step {step_count+1} of {len(model_names)})')
|
187 |
|
188 |
model_processing_text.empty()
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