Update pagination method in app.py to use 'page' for improved fallback handling in query results.

Call _warmup function directly after demo.load in app.py for immediate execution during initialization.

Replace direct call to _warmup function with demo.load for improved integration in app.py

Refactor warmup logic by consolidating _warmup function calls in app.py for improved clarity and consistency.

bumped gradio

Refactor GPU warmup logic by directly calling _warmup function and removing redundant demo.load call in request context.

Set MPLCONFIGDIR for matplotlib and safely run GPU warmup in request context

Fixed categorical colors.

Updated sizing small aestheztic changes & fixes to sampling

Many updates, mainly added categorical.

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.

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.

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.

Remove unnecessary import of spaces in app.py

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

add spaces import

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

printout running statement

bounced torch to 2.0.0

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.

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

force-bumped gradio added datamaplot version printout

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

Add retry mechanism and local publication year approximation to data processing

Update datamapplot dependency and minor UI text adjustments

linechange, test 2nd space push

Call is_running_in_hf_zero_gpu() function

added tier separation

adjusted_pointsize

seting ssr to false

Improve Uvicorn server configuration for local and HF Spaces