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A local version of WebSim.AI, the prompt to webpage engine. Infinite possibilities to cure your boredom. ( I made it so you dont have to.... Youll thank me later)

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WebSimAI_open

A local version of WebSim.AI, the prompt to webpage engine. Infinite possibilities to cure your boredom. ( I made it so you dont have to.... Youll thank me later)

Using Lm-Studio with this model "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF", I was able to get a decent output.

Instructions:

  1. pip3 install -r requirements.txt
  2. To run type main.py lmstudio and navigate to http://127.0.0.1:5000 in your browser. BAM! You should see the web interface. Enjoy if you got issues let me know please...

Docker:

As the owner of this repo I dont know docker. But dont let my lack of knowledge stop you. Heres a guide from the github user: genwch. Environment Variables for Initialization:

  1. API_URL: The URL for the API you’re interacting with.
  2. API_KEY: Your API key for authentication.
  3. model: The specific model you want to use.

Listening on 0.0.0.0:

To make the Flask application listen on all available network interfaces, set the host to 0.0.0.0 in your Flask app configuration.

Docker release:

build the Dockerfile and use CI/CD to make the docker image release.

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A local version of WebSim.AI, the prompt to webpage engine. Infinite possibilities to cure your boredom. ( I made it so you dont have to.... Youll thank me later)

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  • Python 93.8%
  • Dockerfile 6.2%