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| # Plaintext_tab_import.py | |
| # Contains the code for the "Import Plain Text Files" tab in the Gradio UI. | |
| # This tab allows users to upload plain text files (Markdown, Text, RTF) or a zip file containing multiple files. | |
| # The user can provide a title, author, keywords, system prompt, custom user prompt, and select an API for auto-summarization. | |
| # | |
| ####################################################################################################################### | |
| # | |
| # Import necessary libraries | |
| import os | |
| import tempfile | |
| import zipfile | |
| # | |
| # Import Non-Local | |
| import gradio as gr | |
| from docx2txt import docx2txt | |
| from pypandoc import convert_file | |
| # | |
| # Import Local libraries | |
| from App_Function_Libraries.Gradio_UI.Import_Functionality import import_data | |
| # | |
| ####################################################################################################################### | |
| # | |
| # Functions: | |
| def create_plain_text_import_tab(): | |
| with gr.TabItem("Import Plain text & .docx Files"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown("# Import Markdown(`.md`)/Text(`.txt`)/rtf & `.docx` Files") | |
| gr.Markdown("Upload a single file or a zip file containing multiple files") | |
| import_file = gr.File(label="Upload file for import", file_types=[".md", ".txt", ".rtf", ".docx", ".zip"]) | |
| title_input = gr.Textbox(label="Title", placeholder="Enter the title of the content (for single files)") | |
| author_input = gr.Textbox(label="Author", placeholder="Enter the author's name (for single files)") | |
| keywords_input = gr.Textbox(label="Keywords", placeholder="Enter keywords, comma-separated") | |
| system_prompt_input = gr.Textbox(label="System Prompt (for Summarization)", 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] {{ .Prompt }} [/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_name_input = gr.Dropdown( | |
| choices=[None, "Local-LLM", "OpenAI", "Anthropic", "Cohere", "Groq", "DeepSeek", "Mistral", | |
| "OpenRouter", "Llama.cpp", "Kobold", "Ooba", "Tabbyapi", "VLLM", "ollama", "HuggingFace"], | |
| label="API for Auto-summarization" | |
| ) | |
| api_key_input = gr.Textbox(label="API Key", type="password") | |
| import_button = gr.Button("Import File(s)") | |
| with gr.Column(): | |
| import_output = gr.Textbox(label="Import Status") | |
| def import_plain_text_file(file_path, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key): | |
| try: | |
| # Determine the file type and convert if necessary | |
| file_extension = os.path.splitext(file_path)[1].lower() | |
| if file_extension == '.rtf': | |
| with tempfile.NamedTemporaryFile(suffix='.md', delete=False) as temp_file: | |
| convert_file(file_path, 'md', outputfile=temp_file.name) | |
| file_path = temp_file.name | |
| elif file_extension == '.docx': | |
| content = docx2txt.process(file_path) | |
| else: | |
| with open(file_path, 'r', encoding='utf-8') as file: | |
| content = file.read() | |
| # Process the content | |
| return import_data(content, title, author, keywords, system_prompt, | |
| user_prompt, auto_summarize, api_name, api_key) | |
| except Exception as e: | |
| return f"Error processing file: {str(e)}" | |
| def process_plain_text_zip_file(zip_file, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key): | |
| results = [] | |
| with tempfile.TemporaryDirectory() as temp_dir: | |
| with zipfile.ZipFile(zip_file.name, 'r') as zip_ref: | |
| zip_ref.extractall(temp_dir) | |
| for filename in os.listdir(temp_dir): | |
| if filename.lower().endswith(('.md', '.txt', '.rtf', '.docx')): | |
| file_path = os.path.join(temp_dir, filename) | |
| result = import_plain_text_file(file_path, title, author, keywords, system_prompt, | |
| user_prompt, auto_summarize, api_name, api_key) | |
| results.append(f"File: {filename} - {result}") | |
| return "\n".join(results) | |
| def import_file_handler(file, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key): | |
| if file.name.lower().endswith(('.md', '.txt', '.rtf', '.docx')): | |
| return import_plain_text_file(file.name, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key) | |
| elif file.name.lower().endswith('.zip'): | |
| return process_plain_text_zip_file(file, title, author, keywords, system_prompt, user_prompt, auto_summarize, api_name, api_key) | |
| else: | |
| return "Unsupported file type. Please upload a .md, .txt, .rtf, .docx file or a .zip file containing these file types." | |
| import_button.click( | |
| fn=import_file_handler, | |
| inputs=[import_file, title_input, author_input, keywords_input, system_prompt_input, | |
| custom_prompt_input, auto_summarize_checkbox, api_name_input, api_key_input], | |
| outputs=import_output | |
| ) | |
| return import_file, title_input, author_input, keywords_input, system_prompt_input, custom_prompt_input, auto_summarize_checkbox, api_name_input, api_key_input, import_button, import_output |