Correction for situations where response_text may be a list

Updated default dataset, packages, and readme

Updated readme to latest gradio sdk version

Package updates (gradio to 6.0.1)

Updated default source embeddings to latest version of redaction app (v1.6.1)

Updated embeddings for example, package requirements.

Lowered scipy requirement for Hugging Face compatibility

Removed langchain and llama-cpp-python (not actively supported anymore) dependencies. Updated packages. Updated default dataset

Updated user guide example. App should now be able to accept .md files as input

Merge pull request #8 from seanpedrick-case/dev

Changed embedding model to mixed bread xsmall, optimised related functions in general. Updated Gemini model references.

Merge pull request #7 from seanpedrick-case/dev

Updated default data source

Merge pull request #6 from seanpedrick-case/dev

Corrected Gemma model prompt format, made prompts in general ask for more detail. Wording changes.

Merge pull request #5 from seanpedrick-case/dev

Hugging Face spaces implementation seems unable to install latest llama-cpp-python version, so downgrading.

Merge pull request #4 from seanpedrick-case/dev

Updated Dockerfile so it actually works. Modified config file to include/exclude models and change relevant options as needed. Fixed thumbs up/down feedback.

Merge pull request #3 from seanpedrick-case/dev

Removed other references to boto3 client

Merge pull request #2 from seanpedrick-case/dev

Removed obligatory bedrock load in from app

Merge pull request #1 from seanpedrick-case/dev

Refocused app for working with Document Redaction guide. Added Gemma 3 1b as base model. Various UI and config improvements

Initial compatibility tested for use with Gemini and AWS Bedrock APIs

Returned to bge-base embeddings for now. Improved UI a little

Updated packages, functions, fixed a couple of bugs

Added boto3 to requirements

Updated packages, models, preparing for use with AWS (in background)

Changed 'large' model to Phi 3 Mini gguf 128k. Added requirements file for cpu. Put prompts in separate file.

Attempted Gradio downgrade to 3.50.2 to resolve version conflicts

CPU Flan inference is crashing, so trying to revert to previous package versions that worked

Removed reference to ctransformers

Upgraded gradio and packages to latest. Switched Ctransformers with Llama.cpp Python

Minor dependency updates, increased max allowable layers for GPU

Added temperature slider, more stringent checks for document relevance

Added slider for changing number of passages out

Improved prompting for csv/excel files

put back pip install requirement for gradio 3.42.0 for likeData compatibility

Added csv/Excel file support

Put sources behind accordion, minor change to model params. Gitignore update

Hid gpu layers behind accordion

Build fail when gpu_layers > 0, so will set to 0 at start and modify in app.

Made GPU layer bar invisible. Changed default GPU layers when CUDA available

Upgraded large model to Mistral OpenOrca 7B Q4. More checks for empty questions.

Changed embedding model, added reference to chat model on front page

Improved advanced model prompt, added stop generation button. context prompt improvements

Stop generation button. Better model load. Trying one source that's longer.

Setting gpu_layer slider to false to prevent accidental misuse