PDFChat Project Overview
The PDFChat application introduces a revolutionary way to interact with PDF files by utilizing advanced technologies like langchain, OpenAI Embeddings, and GPT3.5. The application interface is crafted using Streamlit, ensuring a seamless user experience by allowing users to chat with their PDF documents as if they were conversing with a person.
How It Works
The application leverages the power of OpenAI technology in the backend to process and understand the content of PDF files. By doing so, it creates a conversational interface where users can ask questions or make queries about their documents and receive coherent and context-aware responses. This capability is particularly useful for individuals and professionals who need to efficiently extract information or summarize content from extensive PDF documents.
Demonstration
A demo video is available, showcasing how the application works in real-time, giving potential users a glimpse into the interactive and user-friendly nature of PDFChat.
Setting Up PDFChat
Installing and setting up the PDFChat application is straightforward. Here’s how users can get started:
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Repository Cloning: Users need to clone the application's Git repository to their local machine.
git clone https://github.com/dotvignesh/PDFChat.git
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Navigating to the Directory: Once cloned, they should move into the repository directory.
cd PDFChat
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Creating a Conda Environment: PDFChat runs within a Conda environment, which must be created and activated.
conda create --name pdfchat conda activate pdfchat
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Installing Dependencies: All required third-party packages need to be installed using the included
requirements.txt
file.pip install -r requirements.txt
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Configuring OpenAI API Key: Users must obtain an OpenAI API Key to enable the chat capabilities. This involves signing up or logging into the OpenAI platform, navigating to the API Keys section, and generating a new secret key.
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Environment Variable Setup: The API key gathered from OpenAI must be included in a
.env
file:echo OPENAI_API_KEY=<your-api-key> >> .env
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Running the Application: Finally, the application can be started using Streamlit:
streamlit run app.py
Once running, the application can be accessed in a web browser at http://localhost:8501
.
Using PDFChat
With the setup complete, users can upload their PDF documents directly through the interface and begin interacting with the content using the chat function. This feature facilitates efficient data extraction and comprehension, significantly enhancing productivity and understanding.
By transforming how individuals work with PDFs, PDFChat offers a unique solution that makes document handling more intuitive and accessible.