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log into http://jupyterhub.sdsu.edu/ using your sdsu credentials, select your resources (minimal is fine) and select "Stack PRP" image. Here is a guide for reference
make sure you have open-ai 0.28.1 installed
go to the terminal and enter pip list | grep openai
if nothing if returned, stop the server and make sure you have selected the "Stack PRP" Image from the list of container images
git clone this repo into your workspace
create a env.yaml file
copy and paste template from env-template.yaml
paste your API key into API key and the file name under file_name if not using paper.txt
click into the fastchat-demo.ipynb notebook
to change the initial prompt for LLM, change initial_prompt
to change the prompt, make changes to the "process paper.txt" section either by changing the code for pre-processing and/or by using a new txt file
to change the LLM, change model = models.data[X].id, replacing X with the index of the model you desire to use as shown in print(models)
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This is a demo for using the Fastchat and OpenAI API for LLM summarization
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