Assert RunPod env vars are setup before trying to use them

Change return type of improvement_loop to dict in app.py

Update allow_flagging option in Gradio interface

Fix Gradio textbox with placeholder

Docs: Add local usage instructions for running the Gradio web server GUI

Clarify setup comments, remove unused global, increase max iterations

Docs: Readme update

Add JSON parsing and format output in HTML

Move constants

Clarify ChillTranslator description

Docs: Move sections around

Doc: Idea for speed improvements and intermediate results display, grouping future directions

Documentation changes

Add description to app

Add cached examples

Documentation: Add image

Documentation: Update future directions

Add HuggingFace Space demo link

Reduce max_iterations value in chill.py

Comment out llama-cpp-python installation command in Docker for HuggingFace Space

Switch to serverless worker by default (PR #2 from lukestanley/serverless_json_llm)

Revert expected serverless output metadata stripper

Documents serverless motivation and testing instructions

Avoid unneeded imports, make serverless output more sensible, removing some debugging and comments

Fix RUNPOD_ENDPOINT_ID environment variable

Add more serverless GPU endpoint setup instruction detail

Document serverless setup

Rename serverless test file, set default model to Phi 2 for test, removed jq install, and env vars that are set the same in utils.py already, ignore .cache in git

Introduces worker mode env var

Make GPU detection and llama-cpp-python re-installation conditional

Initialise global variables in improvement_loop function

Ensure N_GPU_LAYERS is int

Expose json typed LLM interface for RunPod

RunPod Mixtral JSON output test

Add hello world RunPod setup

Update default GPU layer, temperature values

Add env vars to set GPU layer count and context size, make verbose

Fix gif link since LFS related gif binary purge due to HF requirments

Add n_gpu_layers parameter to Llama initialization

Fix: Move n_ctx parameter to model setup!

Fix check for LLM_MODEL_PATH to avoid load error

Correct Space metadata

Add HuggingFace space metadata

Adds Gradio app wrapper and Dockerfile

Auto-downloads model if env var is not set

Make llm_stream_sans_network actually stream to stdout

Default to in-memory LLM interface

Updates README with some realist hope

Bug fix for undefined last_edit

Add comment about adaptability