Author: Gilvan Wanderley de Farias Neto
The application follows these steps to provide answers to your questions:
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PDF Loading: The app reads multiple PDF documents and extracts their text content.
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Text Chunking: The extracted text is divided into smaller chunks that can be processed effectively.
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Language Model: The app uses a language model to generate vector representations (embeddings) of the text chunks.
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Similarity Matching: When you ask a question, the app compares it against the text blocks and identifies the most semantically similar ones.
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Answer Generation: The selected chunks are passed to the language model, which generates an answer based on the relevant content from the PDFs.
poetry shell
poetry install
pip install -r requirements.txt
To start the Chat, follow these steps:
- Make sure your environment is activated, required dependencies are installed, and the OpenAI API key is added to the .env file.
- Run the app.py file using Streamlit. Execute the following command:
streamlit run app.py
- The app will start in your default browser, displaying the user interface.
- Load one or multiple PDF documents into the app following the provided instructions.
- Ask questions about the loaded PDFs using the chat interface.
