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Fix spelling
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@@ -1,7 +1,7 @@
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## Launching Web App
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Note: Make sure you have docker installed
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1. Open dowload this repository with `git clone https://github.com/arc53/DocsGPT.git`
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1. Open download this repository with `git clone https://github.com/arc53/DocsGPT.git`
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2. Create .env file in your root directory and set your `OPENAI_API_KEY` with your openai api key
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3. Run `docker-compose build && docker-compose up`
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4. Navigate to `http://localhost:5173/`
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@@ -2,7 +2,7 @@ App currently has two main api endpoints:
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### /api/answer
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Its a POST request that sends a JSON in body with 4 values. Here is a JavaScript fetch example
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It will recieve an answer for a user provided question
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It will receive an answer for a user provided question
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```js
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// answer (POST http://127.0.0.1:5000/api/answer)
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@@ -29,7 +29,7 @@ In response you will get a json document like this one:
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```
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### /api/docs_check
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It will make sure documentation is loaded on a server (just run it everytime user is switching between libraries (documentations)
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It will make sure documentation is loaded on a server (just run it every time user is switching between libraries (documentations)
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Its a POST request that sends a JSON in body with 1 value. Here is a JavaScript fetch example
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```js
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@@ -104,7 +104,7 @@ fetch("http://localhost:5001/api/task_status?task_id=b2d2a0f4-387c-44fd-a443-e4f
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```
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Responses:
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There are two types of repsonses:
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There are two types of responses:
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1. while task it still running, where "current" will show progress from 0 - 100
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```json
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{
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@@ -24,9 +24,9 @@ Options:
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LLM_NAME (openai, manifest, cohere, Arc53/docsgpt-14b, Arc53/docsgpt-7b-falcon)
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EMBEDDINGS_NAME (openai_text-embedding-ada-002, huggingface_sentence-transformers/all-mpnet-base-v2, huggingface_hkunlp/instructor-large, cohere_medium)
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Thats it!
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That's it!
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### Hosting everything locally and privately (for using our optimised open-source models)
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If you are working with important data and dont want anything to leave your premises.
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Make sure you set SELF_HOSTED_MODEL as true in you .env variable and for your LLM_NAME you can use anything thats on Huggingface
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Make sure you set SELF_HOSTED_MODEL as true in you .env variable and for your LLM_NAME you can use anything that's on Huggingface
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