Print search output as a non-transient list of rows with checkboxes to select what documents/rows want to be viewed

[abuzarmahmood]

[abuzarmahmood]

The issue involves modifying the Process.py file in the abuzarmahmood/ocr_database repository to print search output as a non-transient list of rows with checkboxes, allowing users to select which documents or rows they want to view. Here's a summary of the suggestions and changes made by the agents:

1. File Identification:

   • File: /home/exouser/Desktop/blech_github_bot/src/repos/abuzarmahmood/ocr_database/src/pages/Process.py
   • Description: This file is responsible for performing OCR on uploaded documents and saving the extracted text to a database. It includes functionality for checking which documents have not been processed and performing OCR on them.

2. Suggested Changes:

   • Import Streamlit's Checkbox Component: Ensure that Streamlit's checkbox component is imported.
   • Modify the Display of Documents Needing OCR: Add checkboxes next to each document that needs OCR, allowing users to select specific documents.
   • Implement Checkbox Functionality: Use Streamlit's checkbox to allow users to select documents. Process only the selected documents.

3. Code Snippet:

   # Existing code to display documents that need OCR
   if len(OCR_false) == 0:
       st.write("All documents have been OCR'd.")
   else:
       st.write("Documents that need OCR:")
       
       # Add checkboxes for each document
       selected_indices = []
       for index, row in OCR_false.iterrows():
           if st.checkbox(f"Select {row['file_path']}", key=index):
               selected_indices.append(index)
       
       # Filter the dataframe based on selected checkboxes
       selected_documents = OCR_false.loc[selected_indices]
       
       if selected_documents.empty:
           st.write("No documents selected for OCR.")
       else:
           st.write("Selected documents for OCR:")
           st.write(selected_documents)

4. Explanation:

   • Checkboxes: For each document that needs OCR, a checkbox is displayed. The user can select the documents they want to process.
   • Selected Documents: The selected documents are filtered and displayed. The OCR processing loop can be modified to only process these selected documents.

This approach allows users to interactively select which documents they want to process, addressing the issue raised.

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[abuzarmahmood]

Do it for the search output, not the process output

[abuzarmahmood]

To address the feedback and modify the search output instead of the process output, we need to focus on the Search.py file. Here's how you can implement checkboxes for the search results, allowing users to select which documents or rows they want to view:

Suggested Changes to Search.py

1. Import Streamlit's Checkbox Component: Ensure that Streamlit's checkbox component is imported (already done in the file).

2. Modify the Display of Search Results: Add checkboxes next to each search result, allowing users to select specific documents.

3. Implement Checkbox Functionality: Use Streamlit's checkbox to allow users to select documents. Display only the selected documents.

Code Snippet

Here's how you can modify the code to include checkboxes for the search results:

# Existing code to display top search results
n = 5
top_n_indices = np.argsort(search_results)[-n:][::-1]
st.write("Top search results:")

# Add checkboxes for each search result
selected_indices = []
for idx in top_n_indices:
    word_list = literal_eval(df.iloc[idx]['words'])
    extracted_words = process.extract(
        search_term, word_list, limit=5 
    )
    basename = os.path.basename(df.iloc[idx]['file_path'])
    print_dict = {
        'file_name': basename,
        'file_type': df.iloc[idx]['file_type'],
        'notes': df.iloc[idx]['notes'],
        'words': str(extracted_words)
    }
    
    # Display checkbox for each result
    if st.checkbox(f"Select {basename}", key=idx):
        selected_indices.append(idx)

# Filter the dataframe based on selected checkboxes
selected_documents = df.iloc[selected_indices]

if selected_documents.empty:
    st.write("No documents selected for viewing.")
else:
    st.write("Selected documents:")
    st.write(selected_documents)

Explanation

• Checkboxes: For each search result, a checkbox is displayed. The user can select the documents they want to view.
• Selected Documents: The selected documents are filtered and displayed. This allows users to interactively select which documents they want to view from the search results.

This approach allows users to interactively select which search results they want to view, addressing the feedback provided.

TERMINATE

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This response was automatically generated by blech_bot