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# Book_Ingestion_tab.py | |
# Functionality to import epubs/ebooks into the system. | |
#################### | |
# Function List | |
# | |
# 1. create_import_book_tab() | |
# 2. import_epub(epub_file, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key) | |
# | |
#################### | |
# Imports | |
import logging | |
# | |
# External Imports | |
import gradio as gr | |
# | |
# Local Imports | |
from App_Function_Libraries.Books.Book_Ingestion_Lib import import_file_handler | |
from App_Function_Libraries.Utils.Utils import default_api_endpoint, global_api_endpoints, format_api_name | |
# | |
######################################################################################################################## | |
# | |
# Functions: | |
def create_import_book_tab(): | |
try: | |
default_value = None | |
if default_api_endpoint: | |
if default_api_endpoint in global_api_endpoints: | |
default_value = format_api_name(default_api_endpoint) | |
else: | |
logging.warning(f"Default API endpoint '{default_api_endpoint}' not found in global_api_endpoints") | |
except Exception as e: | |
logging.error(f"Error setting default API endpoint: {str(e)}") | |
default_value = None | |
with gr.TabItem("Ebook(epub) Files", visible=True): | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("# Import .epub files") | |
gr.Markdown("Upload multiple .epub files or a .zip file containing multiple .epub files") | |
gr.Markdown( | |
"π **How to remove DRM from your ebooks:** [Reddit Guide](https://www.reddit.com/r/Calibre/comments/1ck4w8e/2024_guide_on_removing_drm_from_kobo_kindle_ebooks/)") | |
# Updated to support multiple files | |
import_files = gr.File( | |
label="Upload files for import", | |
file_count="multiple", | |
file_types=[".epub", ".zip", ".html", ".htm", ".xml", ".opml"] | |
) | |
# Optional fields for overriding auto-extracted metadata | |
author_input = gr.Textbox( | |
label="Author Override (optional)", | |
placeholder="Enter author name to override auto-extracted metadata" | |
) | |
keywords_input = gr.Textbox( | |
label="Keywords (like genre or publish year)", | |
placeholder="Enter keywords, comma-separated - will be applied to all uploaded books" | |
) | |
system_prompt_input = gr.Textbox( | |
label="System Prompt", | |
lines=3, | |
value="""" | |
<s>You are a bulleted notes specialist. [INST]```When creating comprehensive bulleted notes, you should follow these guidelines: Use multiple headings based on the referenced topics, not categories like quotes or terms. Headings should be surrounded by bold formatting and not be listed as bullet points themselves. Leave no space between headings and their corresponding list items underneath. Important terms within the content should be emphasized by setting them in bold font. Any text that ends with a colon should also be bolded. Before submitting your response, review the instructions, and make any corrections necessary to adhered to the specified format. Do not reference these instructions within the notes.``` \nBased on the content between backticks create comprehensive bulleted notes.[/INST] | |
**Bulleted Note Creation Guidelines** | |
**Headings**: | |
- Based on referenced topics, not categories like quotes or terms | |
- Surrounded by **bold** formatting | |
- Not listed as bullet points | |
- No space between headings and list items underneath | |
**Emphasis**: | |
- **Important terms** set in bold font | |
- **Text ending in a colon**: also bolded | |
**Review**: | |
- Ensure adherence to specified format | |
- Do not reference these instructions in your response.</s>[INST] | |
""" | |
) | |
custom_prompt_input = gr.Textbox( | |
label="Custom User Prompt", | |
placeholder="Enter a custom user prompt for summarization (optional)" | |
) | |
auto_summarize_checkbox = gr.Checkbox(label="Auto-summarize", value=False) | |
# API configuration | |
api_name_input = gr.Dropdown( | |
choices=["None"] + [format_api_name(api) for api in global_api_endpoints], | |
value=default_value, | |
label="API for Summarization/Analysis (Optional)" | |
) | |
api_key_input = gr.Textbox(label="API Key", type="password") | |
# Chunking options | |
max_chunk_size = gr.Slider( | |
minimum=100, | |
maximum=2000, | |
value=500, | |
step=50, | |
label="Max Chunk Size" | |
) | |
chunk_overlap = gr.Slider( | |
minimum=0, | |
maximum=500, | |
value=200, | |
step=10, | |
label="Chunk Overlap" | |
) | |
custom_chapter_pattern = gr.Textbox( | |
label="Custom Chapter Pattern (optional)", | |
placeholder="Enter a custom regex pattern for chapter detection" | |
) | |
import_button = gr.Button("Import eBooks") | |
with gr.Column(): | |
with gr.Row(): | |
import_output = gr.Textbox(label="Import Status", lines=10, interactive=False) | |
import_button.click( | |
fn=import_file_handler, | |
inputs=[ | |
import_files, # Now handles multiple files | |
author_input, | |
keywords_input, | |
system_prompt_input, | |
custom_prompt_input, | |
auto_summarize_checkbox, | |
api_name_input, | |
api_key_input, | |
max_chunk_size, | |
chunk_overlap, | |
custom_chapter_pattern | |
], | |
outputs=import_output | |
) | |
return import_files, author_input, keywords_input, system_prompt_input, custom_prompt_input, auto_summarize_checkbox, api_name_input, api_key_input, import_button, import_output | |
# | |
# End of File | |
######################################################################################################################## | |