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This is a fine-tuning interface for Prompt Engineering made with Streamlit, which allows customizable settings of the LLM on each turn. The backend is developed using LangChain. The current models available are OpenAI models.

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LLM_Playground

How to run a Streamlit app:

  • Install the libraries pip install -r requirements.txt
  • Create an .env file with the following variable: OPENAI_API_KEY=sk-<your-api-key>
  • Run the command streamlit run {app_folder}/main.py
  • Enter into http://localhost:8501/ on your browser

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This is a fine-tuning interface for Prompt Engineering made with Streamlit, which allows customizable settings of the LLM on each turn. The backend is developed using LangChain. The current models available are OpenAI models.

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