• Add Drive URL installation feature for convenient uploading of large files by users.
• Real-time informative displays for API execution, and enable image zoom and download features.
• Add Optional Cards for inputing optional parameters. (under developing)
• Accelerate program by image transmission, inference speed, and the page loading.
• Provide one-click installation.
• Fix some issues.

• Build Docker images for each library. Detailed tools list supported are available here.
• Implement session management to facilitate simultaneous use by multiple dialogs.
• Introduce session state rollback management, enabling users to revert to previous states and re-initiate inquiries.

• Added SONATA tutorial and MIOSTONE tutorial to showcase tool usage. Upload data and pretrained models onto drive.
• Fixed bug in class-type APIs that caused errors when using methods. Methods can now be called and used correctly.
• Resolved program exit issue without error throw. Errors are now handled properly with relevant error messages displayed.
• Addressed retriever loading issue for specific tools. Indivdual retrievers can now be loaded and utilized correctly for each tool.
• Enhance Robustness for basic type parameters. When entering result_* for basic type parameters, it will show result_* instead of "result_*" even it is of str type.
• Fix bug of secrets variable in src/gpt/gpt_interface.py. Change the way to call OpenAI from langchain to OpenAI lib in models/model.py

Current Progress of the BioMANIA Project

Python Tools

• General Python Tools
  For general Python tools, we've provided scripts and a README tutorial to facilitate the conversion of tools into BioMANIA APP. Based on the Python tools mentioned in our research paper, we have made their data and partial models available in the cloud. We've also packaged the data and complete models in Docker containers. Additionally, we offer an online demo (currently available).

• GitHub Source
  Regarding GitHub source code, we offer a conversion tutorial and provide scripts that utilize GPT to automatically enhance docstrings, freeing users from the manual task of adding docstrings.

• R
  For R code, we offer a tutorial for generating API_init, which is currently in development.

BioMANIA Frontend and Backend

• We provide the code for both the BioMANIA frontend and backend. Users can run scripts locally and convert their own tools into BioMANIA APP.

Issue Collaboration

• We encourage issue collaboration, where you can share your APP and install and use others' APPs, fostering a collaborative environment within the BioMANIA community.