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https://github.com/lmh-java/dr-pow-backend
DoC-To-PoW is an AI-powered opensource service designed to quickly generate presentation slides by pre-existing documents
https://github.com/lmh-java/dr-pow-backend
Last synced: 17 days ago
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DoC-To-PoW is an AI-powered opensource service designed to quickly generate presentation slides by pre-existing documents
- Host: GitHub
- URL: https://github.com/lmh-java/dr-pow-backend
- Owner: Lmh-java
- Created: 2024-01-20T17:18:40.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2024-08-14T02:29:25.000Z (5 months ago)
- Last Synced: 2024-11-07T18:25:18.538Z (2 months ago)
- Language: Rich Text Format
- Homepage:
- Size: 269 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DoC-To-PoW
**A simple-to-use tool for converting images and documents to presentation slides.**
> [!NOTE]
> This is the back end repo of DoC-To-Pow. For front end repo, please go [here](https://github.com/clay-arras/dr-pow-frontend).
## What is DoC-To-PoW
DoC-To-PoW is an AI-powered opensource service designed to quickly generate presentation slides by pre-existing documents. (For
details of document types supported, please see the following section).
### Gallery
Main Page:
Sample Output 1:
Sample Output 2:
### Supported File Types
1. Plain Text Files
- .txt
- .py
- .java
- ...
2. Markdown Files (.md)
3. Microsoft Documents (.docx only)
4. Rich Text Files (.rtf)
5. Images
- .png
- .jpg
- .jpeg
## Setup
Here are a few steps to set up the entire service.
### Front End Setup
1. Clone the front end repo
~~~bash
git clone https://github.com/clay-arras/dr-pow-frontend.git
~~~
2. Enter front end project folder
~~~bash
cd ./dr-pow-frontend
~~~
3. Install dependencies
~~~bash
npm install
~~~
4. Start the front end service
~~~
npm run start
~~~
Now, you should be able to see the front end services runs without errors.
> [!NOTE]
> The front end service is normally running on localhost:3000. You may change to other port if necessary.
### Back End Setup
In order to run back end service, please make sure you have git and python3 installed in your device.
1. Clone the back end repo
~~~bash
git clone https://github.com/Lmh-java/Dr-Pow-Backend.git
~~~
2. Enter back end project folder
~~~bash
cd ./Dr-Pow-Backend
~~~
3. Install dependencies
~~~bash
pip install -r requirement.txt
~~~
4. Config API Keys
Replace unsplash API key and openAI API key in config.ini with your api keys.
5. Check the Debug Flag set to false
Go to *ppt_gen.py*, at line **20**, you will be able to see a variable named **DEBUG_FLAG**.
Make sure it is **False**. Otherwise, external API calls will be disabled, and you can only access dummy test data for output.
~~~python
import json
import logging
from typing import List
from PIL import Image
from pptx import Presentation
from template.history_template import HistoryTemplate
from template.pastel_template import PastelTemplate
from template.plain_template import PlainTemplate
from template.minimalistic_template import MinimalisticTemplate
from template.school_template import SchoolTemplate
from template.portfolio_template import PortfolioTemplate
from api.openai_api import query_chatgpt3_5
from api.unsplash_api import search_photo, download_photo
# FIXME: IF THIS IS TRUE, IT WILL DISABLE THE API CALLS AND ONLY OUTPUT DUMMY TEST DATA.
DEBUG_FLAG = False
~~~
6. Run main.py
~~~bash
python main.py
~~~
## Tech Stack
**Overview**
| Front End | Back End | UI / UX |
|--------------|------------|---------|
| Next UI | FastAPI | Figma |
| React.js | OpenAI | |
| Tailwind CSS | Google OCR | |
Please see details in *package.json* for front end and *requirement.txt* for back end.
## Contributors
- [**Neil Lin**](https://github.com/clay-arras) - Front End Dev
- [**Minghao Li**](https://github.com/Lmh-java) - Back End Dev
- [**Sam Shan**](https://github.com/ssaem1) - Front End Dev
- **Jennifer Park** - UI/UX design
## Links
DevPost: https://devpost.com/software/doc-to-pow
Neil Lin's Github: https://github.com/clay-arras
Minghao Li's Github: https://github.com/Lmh-java
Sam Shan's Github https://github.com/ssaem1