A Slack Bot for summarizing arXiv papers, powered by OpenAI LLMs.
This repository offers 2 main features:
- Summarize an arXiv paper which you mention in a Slack channel.
- Once a day, post summaries of papers which AK mentions.
Currently, the bot supports only papers posted on arXiv.
- This article may be helpful: Enabling interactions with bots
git clone https://github.com/discus0434/paper-summarizer.gitIf you do not use CUDA (i.e., you use only CPU), you can modify Dockerfile as follows:
- FROM paddlepaddle/paddle:2.4.1-gpu-cuda11.2-cudnn8.2-trt8.0
+ FROM paddlepaddle/paddle:2.4.1Then, build a Docker image:
cd paper-summarizer/docker && make buildOPENAI_ORGANIZATION might be optional.
echo "OPENAI_ORGANIZATION=org-XXX" >> .env
echo "OPENAI_API_KEY=sk-XXX" >> .env
echo "SLACK_INCOMING_WEBHOOK_URL=https://hooks.slack.com/services/XXX/XXX/XXX" >> .env
echo "SLACK_SIGNING_SECRET=XXX" >> .env
echo "SLACK_BOT_TOKEN=xoxb-XXX" >> .envYou can run the API with the following command:
make runIf your PC is Windows, run below in git bash:
make run-win
docker exec -it <container id> bash
python3 app.pyThen, forward the port by using ngrok or something like that.
- Computer with x86-64 architecture
- Docker
This repository is licensed under AGPLv3. See LICENSE for more information.
- For PDF to text conversion, using PaddlePaddle model.
- The docker image is based on paddlepaddle/paddle.
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