file-gpt - GitLite

KO | EN

gitlite — search

#python #ai #typescript #llm #machine-learning #deep-learning #windows #awesome #cli #awesome-list #security #mcp #ios #openai

file-gpt

(★ 143)

Start a chat with any document with Ada Embedding and Davinci Completion

파일 탐색기

최종 버전 다운로드 (.zip)

- embeddings.cpython-310.pyc
- prompts.cpython-310.pyc
- utils.cpython-310.pyc
__init__.py
app.py
embeddings.py
LICENSE
prompts.py
README.md
requirements.txt
utils.py

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/davila7/file-gpt

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd file-gpt

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<h1 align="center">
FileGPT 🤖
</h1>

Read the article to know how it works: <a href="https://medium.com/@dan.avila7/file-gpt-conversaci%C3%B3n-por-chat-con-un-archivo-698d17570358">Medium Article</a>

With File GPT you will be able to extract all the information from a file.
You will obtain the transcription, the embedding of each segment and also ask questions to the file through a chat.

All code was written with the help of <a href="https://codegpt.co">Code GPT</a>

<a href="https://codegpt.co" target="_blank"><img width="753" alt="Captura de Pantalla 2023-02-08 a la(s) 9 16 43 p  m" src="https://user-images.githubusercontent.com/6216945/217699939-eca3ae47-c488-44da-9cf6-c7caef69e1a7.png"></a>

<hr>
<br>

# Features

- Read any pdf, docx, txt or csv file
- Embedding texts segments with Langchain and OpenAI (**text-embedding-ada-002**)
- Chat with the file using **streamlit-chat** and LangChain QA with source and (**text-davinci-003**)

# Running Locally

1. Clone the repository

```bash
git clone https://github.com/davila7/file-gpt
cd file-gpt
```
2. Install dependencies

These dependencies are required to install with the requirements.txt file:

* openai
* pypdf
* scikit-learn
* numpy
* tiktoken
* docx2txt
* langchain
* pydantic
* typing
* faiss-cpu
* streamlit_chat

```bash
pip install -r requirements.txt
```
3. Run the Streamlit server

```bash
streamlit run app.py
```