/PDF-Query-Wizard

Unleash the magic of PDFQueryWizard: Upload PDFs, sprinkle in questions, and watch as it conjures answers with Google Gemini—because even your documents deserve a touch of wizardry! 🧙‍♂️📜

Primary LanguagePythonApache License 2.0Apache-2.0

PDF Query Wizard

Welcome to PDFQueryWizard, a dynamic application powered by Python Streamlit, utilizing Google Gemini for advanced document analysis. This tool empowers you to effortlessly upload and process multiple PDF documents, enabling you to pose questions and receive insightful answers. ImageInsights app can be accessed here

Features:

  • Upload Multiple PDFs: Easily upload and submit multiple PDF documents at once.

  • Effortless Processing: Press the "Process" button to initiate seamless processing with the advanced capabilities of Google Gemini.

  • Ask Questions: Post-processing, enter your questions, and watch as PDFQueryWizard utilizes Google Gemini to generate accurate and relevant answers.

  • Workflow:

    1. Text Extraction: PDFs are processed to extract raw text for all documents.
    2. Chunking: Raw text is segmented into chunks for efficient analysis.
    3. Vectorization: FAISS is employed to find vectors for these text chunks, enhancing processing speed.
    4. Vector Storage: Vectors are saved for future use, optimizing response time.

Getting Started:

  1. Upload PDFs:

    • Click on the "Upload" button to select and upload the PDFs you want to analyze.
    • Multiple PDFs can be uploaded simultaneously.

  2. Process PDFs:

    • After uploading, hit the "Submit" button to leverage the power of Google Gemini for processing your PDFs.

  3. Ask Your Questions:

    • Once processing is complete, enter your queries.
    • PDFQueryWizard, backed by Google Gemini, will provide detailed and insightful responses.

  4. Explore Results:

    • View the answers generated by the system based on the content of your uploaded PDFs.

Tech Stack:

PDFQueryWizard integrates Python Streamlit for a user-friendly interface, Google Gemini for question answering, and FAISS for efficient vectorization and storage.

Installation:

To run PDFQueryWizard locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/manisha-v/PDF-Query-Wizard.git

  2. Navigate to the project directory:

    cd PDF-Query-Wizard

  3. Install dependencies:

    pip install -r requirements.txt

  4. Run the application:

    streamlit run app.py

Visit http://localhost:8501 in your web browser to start using PDFQueryWizard with Google Gemini.

Deployment:

PDFQueryWizard is deployed and accessible. Visit https://pdf-query-wizard.streamlit.app/ to experience the tool online.

Preview Images:

Preview Image 1 Home page

Preview Image 2 Help

Preview Image 3 upload PDFs and ask your query

Contact

I'm always open to new opportunities and collaborations. Feel free to reach out to me through the contact form on my portfolio website or via email at varshney.manisha05@gmail.com.

Connect me on LinkedIn