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huggingface readme

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- # kth-qa
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-
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- ## Env file
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- You need to create a file called .env in the main folder (kth-qa) and add your openai api key.
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- The content should look like this:
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- ```
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- OPENAI_API_KEY=YOUR_KEY
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- OPENAI_CHAT_MODEL=gpt-3.5-turbo
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- ```
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-
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- ## How to run
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- 1. Install Poetry (https://python-poetry.org/)
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- - For M1 Macs: https://github.com/rybodiddly/Poetry-Pyenv-Homebrew-Numpy-TensorFlow-on-Apple-Silicon-M1
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- 2. cd into ``kth-qa``
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- 3. run ``poetry install``
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- 4. make sure poetry venv is activated (.venv). If not, run ``poetry shell``
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-
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- ### Scrape files
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- 1. Run ``make courses``
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- This runs
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- 1. ``python webscraping/scrape_info.py`` which scrapes the list of KTH courses
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- 2. ``python webscraping/scrape_course.py`` which scrapes the course pages
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-
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- You can limit the number of courses scraped in both files by changing the variable ``limit``
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- You can also select what languages to scrape in
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-
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- ### Ingest files
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- 1. Have .txt files in kth_qa/files/en or kth_qa/files/sv
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- 2. Stand in root and run ```make ingest```
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-
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- ### Run site
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- Run either
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- - ``python kth_qa/main.py`` or
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- - ``make start``
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-
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- ## How to search
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- - If you just want to test the search functionality, you can search for "test"
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- - You can also define your own test searchs in test_queries.json
 
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+ ---
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+ title: KTH QA
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+ emoji: 🤖
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+ colorFrom: "#FFD700"
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+ colorTo: "#FF8C00"
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+ app_file: kth_qa/main.py
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+ pinned: true
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+ ---