LLM Tools Suite

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An integrated suite of AI-powered tools designed to enhance productivity by leveraging advanced Large Language Models. The platform provides a unified interface for content generation, data analysis, SQL query creation, document and website summarization, code explanation, and more.

Live Demo: https://llm-tools-suite.streamlit.app/

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Features

The LLM Tools Suite includes the following specialized modules within a single Streamlit application:

• AI Assistant A professional conversational AI assistant offering quick, accurate responses. (Default landing page)

• Blog AI Assistant Generate high-quality, engaging blog posts using AI based on titles, keywords, and desired lengths.

• AI CSV Analyzer Upload CSV files and explore your data intelligently with LLM-powered natural language queries.

• SQL Query Generator Convert natural language descriptions into syntactically correct SQL queries, supporting multiple dialects.

• Document Summarizer Upload PDF or Word documents and receive concise, accurate summaries with download options.

• Website Summarizer Provide a URL to summarize webpage content quickly and download the summary.

• Code Explainer (New) Paste code snippets in popular languages and receive a detailed explanation including:

  • The full original code snippet
  • A comprehensive overview of the entire snippet
  • A line-by-line breakdown explaining syntax, logic, and key components

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Screenshots

AI Assistant

Blog AI Assistant

AI CSV Analyzer

SQL Query Generator

Document Summarizer

Website Summarizer

Code Explainer

(Add your screenshot here)

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Project Structure

llm-tools-suite/
│
├── tools/
│   ├── blog_assistant.py
│   ├── code_explainer.py           # New tool for code explanations
│   ├── data_analyzer.py
│   ├── sql_query_generator.py
│   ├── document_summarizer.py
│   ├── document_summarizer_utils.py
│   └── website_summarizer.py
│
├── app.py                         # Main Streamlit app interface with multi-tab chat & UI improvements
├── README.md                      # Project documentation
├── requirements.txt               # Python dependencies
└── images/                        # Screenshot assets

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Installation

1. Clone the repository

   git clone https://github.com/MoustafaMohamed01/llm-tools-suite.git
   cd llm-tools-suite

2. Install dependencies

   pip install -r requirements.txt

3. Set up your API key (Local development)

   Create .streamlit/secrets.toml in the root folder and add:

   GEMINI_API_KEY = "your-gemini-api-key"

   Alternatively, export the key in your shell environment:

   export GEMINI_API_KEY="your-gemini-api-key"

   Note: Never commit your API keys to source control. .streamlit/secrets.toml and .env files are included in .gitignore.

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Deployment to Streamlit Community Cloud

1. Ensure your requirements.txt is accurate and GEMINI_API_KEY is accessed securely via environment variables (os.getenv("GEMINI_API_KEY")).

2. Go to share.streamlit.io, log in, and create a new app linked to this repository.

3. Set the main file path as app.py.

4. In Advanced settings / Secrets, add:

   GEMINI_API_KEY="YOUR_ACTUAL_GEMINI_API_KEY_HERE"
   

5. Deploy and Streamlit will handle the hosting.

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Running Locally

streamlit run app.py

This launches the app, starting on the AI Assistant page. Use the sidebar to navigate between tools.

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Built With

• Streamlit – UI and web app framework
• LangChain – Managing LLM chains and document processing
• Google Gemini API – Large Language Model backend
• FAISS – Vector similarity search for document/website summarization
• pypdf / python-docx – PDF and Word document parsing
• Requests & Beautiful Soup 4 – Web scraping for website summarization

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To-Do

• Add support for DOC file format (if not covered by python-docx)
• Enable chat-based interaction for CSV Analyzer for richer conversations
• Add user authentication for secure access
• Enhance summary download options (e.g., export as PDF)
• Add screenshot for Code Explainer tool

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Acknowledgements

Thanks to the open-source communities and teams behind Streamlit, LangChain, and Google AI.

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About Me

Moustafa Mohamed Aspiring AI Developer specializing in Machine Learning, Deep Learning, and LLM Engineering.

• GitHub: MoustafaMohamed01
• LinkedIn: Moustafa Mohamed
• Kaggle: moustafamohamed01
• Portfolio: moustafamohamed.netlify.app

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