EVAL/README.md

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# EVAL
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> **EVAL(Elastic Versatile Agent with Langchain) will execute all your requests. Like the eval method!**
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https://user-images.githubusercontent.com/19206046/229892113-481437b7-a332-4e0c-bfb3-d2c97c9035be.mp4
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You don't have to think about how. If you tell them the results you want, they'll search, code, run, and test the Internet themselves, and they'll return the final results.
### EVAL's FEATURE
1. It can **understand** and **generate** data formats for text, image, dataframe, audio (TODO), video (TODO).
2. It can **create tools** that it can use by writing and modifying code.
3. It can **evolve** itself by executing and testing its code.
### BUILT-IN TOOLS
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1. Terminal
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- SyscallTracer
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2. Code Editor
- READ: Read and understand file.
- WRITE: Write code to create a new tool.
- PATCH: Correct the error throught the code patch if an error occurs.
- DELETE: Delete code in file for a new start.
3. Search
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- Google, Bing, Wikipedia
- Custom DB Search (Currently using Corca's Wine Data in https://www.workershop.kr/en)
- Use GPT index to quickly find the information you need in a document and use that information to answer
- Requests.get (Get information from anywhere you want)
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4. Image Understanding, Generation, Editing
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- Image Understanding
- Image Understanding: blip-image-captioning
- Visual Question&Answering: blip-vqa
- Image Generation: Stable Diffusion 1.5
- Image Editing
- Replace or remove an object: Stable Diffusion Inpainting
- Change Image's style: InstructPix2Pix
Thanks to [LangChain](https://github.com/hwchase17/langchain), [Visual ChatGPT](https://github.com/microsoft/visual-chatgpt), [llama index](https://github.com/jerryjliu/llama_index).
### CUSTOM TOOLS
We also don't know what tools EVAL will create. Every day, It will create the right tools to execute your request.
---
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## Usage
1. environments settings
2. `docker-compose up -d`
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### Environment
You need to write some environment variables in the `.env` file. Refer [.env.example](.env.example) if you don't know how to format it.
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**Mandatory**
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Manatory envs are required in order to serve EVAL.
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- `OPENAI_API_KEY` - OpenAI api key
**Optional**
Each optional env has default value, so you don't need to set unless you want to change it.
- `PORT` - port (default: 8000)
- `SERVER` - server address (default: http://localhost:8000)
- `LOG_LEVEL` - INFO | DEBUG (default: INFO)
- `BOT_NAME` - give it a name! (default: Orca)
**For More Tools**
Some tools requires environment variables. Set envs depend on which tools you want to use.
- Google search tool
- `SERPAPI_API_KEY`
- Bing search tool
- `BING_SEARCH_URL`
- `BING_SUBSCRIPTION_KEY`
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## TODO
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- [ ] memory saving
- [ ] session manage
- [ ] convert to alpaca
- [ ] prompt upgrade
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- [ ] give a tool to create tools
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- [ ] etc.
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## Reference
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Thanks to the following repositories.
- https://github.com/hwchase17/langchain
- https://github.com/microsoft/visual-chatgpt
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- https://github.com/jerryjliu/llama_index