PDF-RAG-with-Llama2-and-Gradio

KO | EN

gitlite — search

#python #hacktoberfest #react #typescript #golang #go #android #machine-learning #rust #docker #java #windows #awesome #awesome-list

PDF-RAG-with-Llama2-and-Gradio

(★ 82)

Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2

PDF-RAG-with-Llama2-and-Gradio 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# PDF RAG ChatBot with Llama2 and Gradio
![image](https://github.com/Niez-Gharbi/PDF-RAG-with-Llama2-and-Gradio/assets/57814219/29efb4c9-1f15-479a-a57b-34bdd2085068)

PDFChatBot is a Python-based chatbot designed to answer questions based on the content of uploaded PDF files. It utilizes the Gradio library for creating a user-friendly interface and LangChain for natural language processing.

## Technologies Used 🚀
* Langchain
* Llama2
* ChromaDB
* Hugging Face
* Gradio

## Features ⭐
* Process PDF files and extract information for answering questions.
* Maintain chat history and provide detailed explanations.
* Generate responses using a Conversational Retrieval Chain.
* Display specific pages of PDF files according to the answer.

## Prerequisites 📋
Before running the ChatBot, ensure that you have the required dependencies installed. You can install them using the following command:
```
pip install -r requirements.txt
```

## Configuration ⚙️
The ChatBot uses a configuration file (config.yaml) to specify Hugging Face model and embeddings details. Make sure to update the configuration file with the appropriate values if you wanted to try another model or embeddings.

## Usage 📚
1. Upload a PDF file using the "📁 Upload PDF" button.
2. Enter your questions in the text box.
3. Click the "Send" button to submit your question.
4. View the chat history and responses in the interface.
![image](https://github.com/Niez-Gharbi/PDF-RAG-with-Llama2-and-Gradio/assets/57814219/77b76c05-86fe-4020-8c7a-cf3d7402dcfd)

## Running Locally 💻
To run the PDF Interaction ChatBot, execute the following command:

```
cd src
python app.py
```

## License
This project is licensed under the [Apache License 2.0](https://github.com/Niez-Gharbi/PDF-RAG-with-Llama2-and-Gradio/blob/main/LICENSE).

PDF-RAG-with-Llama2-and-Gradio

PDF-RAG-with-Llama2-and-Gradio 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

PDF-RAG-with-Llama2-and-Gradio

PDF-RAG-with-Llama2-and-Gradio 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README