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Chat.with.your.PDF
ghazalnazari1990/Chat.with.your.PDF
Chat.with.your.PDF is a machine learning model from ghazalnazari1990. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ChatWithYourPDFBot is a conversational AI model designed to interact with users and answer questions based on the content of PDF documents. This model is built using the langchain library and OpenAI's GPT-3.5-turbo la…
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Updated Aug 14, 2024
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At a glance
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 14, 2024
- SHA
- 8682ef8e
Model card
From the Hugging Face model README
ChatWithYourPDF_Bot
ChatWithYourPDF_Bot is a conversational AI model designed to interact with users and answer questions based on the content of PDF documents. This model is built using the langchain library and OpenAI's GPT-3.5-turbo language model.
Model Description
The ChatWithYourPDF_Bot allows users to upload PDF files and then queries the content of these files to provide relevant answers. The model can handle various questions about the content of the PDF and provides conversational responses.
Features
- PDF Upload: Users can upload PDF files to be processed.
- Conversational AI: Provides answers based on the content of the uploaded PDF.
- Document Retrieval: Retrieves relevant sections from the document based on user queries.
How It Works
- PDF Upload: Users upload a PDF file through the application interface.
- Document Processing: The application processes the PDF, splits it into manageable chunks, and creates an embedded vector database.
- Query Handling: Users enter questions, which are then processed by the GPT-3.5-turbo model to generate responses based on the document's content.
- Response Generation: The model generates and returns relevant answers based on the query and the document's content.
Usage
- Installation: Ensure you have Python 3.8+ installed and then install the required packages:
pip install langchain openai pypdf panel
- Languages
- en
- Created
- Aug 4, 2024
- Updated
- Aug 14, 2024