Implement DOI list handling in CSV uploads and add highlight color feature in predictions. Refactor embedding creation function for clarity and enhance OpenAlex record fetching with new utility function.

Remove unnecessary commented-out code in app.py to enhance clarity and maintainability.

Enhance device selection logic in setup_embedding_model to support MPS for Apple Silicon, in addition to CUDA and CPU fallback.

recomit to force push

Refactor app.py to improve handling of serialized data in DataFrame uploads, replacing previous parsing logic with a more robust JSON and Python-repr parsing function. Update file upload instructions to clarify supported formats.

Refactor app.py to enhance spaces import handling, provide a fallback for non-Space environments, and restore necessary function calls for resource initialization.

Update SDK version in README.md from 5.33.0 to 5.23.1 and remove specific torch version from requirements.txt

Refactor app.py to streamline spaces import logic and remove commented-out code for clarity.

Refactor spaces import handling in app.py to conditionally import and provide a fallback for non-Space environments.

Refactor GPU function definitions in app.py to improve structure and ensure warmup function is called before embedding creation.

Add warmup function in app.py to initialize GPU processing with a print statement.

Update SDK version in README.md from 5.23.1 to 5.33.0

Remove unnecessary import of spaces in app.py

Add GPU-aware function to create embeddings for input texts in app.py

Update requirements.txt to specify torch version 2.1.2

add spaces import

Add app_save_copy.py and app_2.py to .gitignore to prevent tracking of temporary files.

Refactor data processing in app.py to improve handling of dictionary-like strings in DataFrame and update file upload options to support both CSV and Pickle formats.

Comment out torch import and remove it from requirements.txt

Re-add torch to requirements and restore scikit-learn dependency

printout running statement

removed torch from reqs

bounced torch to 2.0.0

fixed torch to 2.0.0

Add .venv_clean to .gitignore

remove env from gitignore

Kicked out pkl upload, fixed csv-upload. Update requirements.txt to specify torch version and add gradio dependency.

Enhance data processing in app.py and openalex_utils.py by improving handling of referenced works and filling missing publication values with spaces.

Update project funding information in app.py for clarity and consistency.

rm working paper, added citation

commented out numba diagnostics, remove later.

Toggle use_medoids parameter in prediction function back to True and update datamapplot dependency to point to alternative version by MNoichl.

Toggle use_medoids parameter in prediction function to False for testing purposes.

added import for datamapplot.medoids and printed its help documentation

set Numba threads to 16 and print updated thread count

added numba threads-check

check numba config

set up caching dirs.

Try again...

Bump gradio

Refactor datamapplot version retrieval to use subprocess and update requirements to point to the main branch

booped setuptools

force-bumped gradio added datamaplot version printout

Reshuffled reqs

Reset datamapplot to prev. install

Merge remote-tracking branch 'origin/main'

Update datamapplot dependency to a more specific commit hash format in requirements.txt

Force push to hf

Enhance data processing by adding CSV and Pickle file upload support, improving error handling, and refining the prediction pipeline. Update the `process_records_to_df` function to handle existing DataFrames and ensure required fields are processed correctly.

Add JavaScript function to enforce light theme by refreshing the page