Docker fix

[ba2512005]

Description

Slight modifications to code to allow for docker compose up to work properly.

Fixes # (issue)

1. requirements
2. Dockerfile
3. app.py
4. setup.py

Type of change

Please delete options that are not relevant.

• [ ] Bug fix (non-breaking change which fixes an issue)

Checklist:

Please put an x in the boxes that apply. You can also fill these out after creating the PR.

• [x] My code follows the style guidelines of this project
• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [Y] My changes generate no new warnings
• [X] I have added tests that prove my fix is effective or that my feature works
• [N] I have tested this code locally, and it is working as intended
• [N] I have updated the documentation accordingly

Screenshots

If applicable, add screenshots to help explain your changes. Docker environment and image build works fine, running the container i get this error:

File "/app/app.py", line 15, in lollms-webui-1 | from fastapi.middleware.cors import CORSMiddleware lollms-webui-1 | ModuleNotFoundError: No module named 'fastapi'

Referring to line 15 of app.py where its trying to use a fastapi import without importing fastapi. The wierd thing is that I updated the code to remove that yet it is still there..

@ParisNeo can you please test this and let me know if it works on your end or if there's something we have to do to update the lollms_webui package from 5.0.2 to 5.0.3 to have the updated code in the package that is being pulled in the docker compose.

[ba2512005]

@ParisNeo let's have a discussion about the codebase and the challenges users are facing, how to address them, and how I can help improve the codebase.

I need this solution to be in working order for me to be able to accomplish my vision of how I want AI to interact.

let's schedule an hour long call to do a deep dive and work through this stuff so we can:

1. Simplify setup: get a working codebase with docker compose working out of the box
2. Correct configurations: Have working configs for vector db, internet search, and other reliant services out of the box baked into the docker compose.
3. Fix personalities: Get a working set of personalities that actually are useful. there's a lot of garbage in the personality zoo that needs to be cleaned up
4. Expand functionality: Discuss future of lollms and integrations that will change how we interact with computers and AI, making lollms the frontier in LLM management and design.

[ParisNeo]

Dear @ba2512005, Thank you for your interest in restructuring LoLLMS and for your patience awaiting my response.

I want to be transparent about both LoLLMS's positioning and my current personal situation:

1. Project Scope

• LoLLMS is primarily a research and experimentation platform
• It serves as an innovation testbed for AI features and concepts
• Many of its pioneering features (structured outputs, advanced prompting) have inspired commercial platforms

2. Technical Considerations

• The platform is designed for single-user, local deployment
• Security limitations exist, particularly regarding authentication
• Opening it to external access is not recommended due to potential vulnerabilities

Innovation History and Impact: LoLLMS has been a consistent pioneer in AI features that are only now being celebrated as "revolutionary" in commercial platforms:

1. Structured Code Generation

• LoLLMS implemented the generateCode functionality over a year ago
• This allows formatted outputs (JSON, YAML, Python, etc.) from any AI model
• Recent implementations like Ollama's JSON output feature, while praised as groundbreaking, mirror functionality that has been standard in LoLLMS
• My implementation works across local, remote, and paid AI models

2. Visual and Interactive Features

• The canvas-style interface, now celebrated in tools like Claude Canvas, was conceptualized and implemented in LoLLMS long before
• The visual workspace and document handling capabilities preceded many current commercial implementations
• The ability to seamlessly blend text, code, and visual elements has been a core LoLLMS feature for many months

3. Other Pioneering Features

• Advanced prompting techniques
• Multi-model routing
• Contextual awareness
• Workspace management
• Visual programming capabilities
• Skills library

Alternative Recommendations: For business/production implementation, I strongly recommend:

• Ollama + OpenWebui combination
• These projects have robust community support and accept regular contributions
• They're better suited for commercial applications

Contribution Process: If you still wish to contribute to LoLLMS:

1. Create an issue describing your proposed changes
2. Wait for alignment with the project roadmap
3. Submit a pull request after approval
4. Await code review

Personal Situation and Project Constraints: I need to be candid about my current circumstances:

• LoLLMS is an unfunded, personal project developed during my free time (vacations, late nights, weekends)
• I'm currently facing significant family pressures that require my immediate attention
• My family needs more of my presence and support during this period
• This will inevitably result in reduced development time and slower update frequency
• The project has already cost considerable personal time and resources

While I remain committed to LoLLMS, I must prioritize my family's needs in the coming months. This means I'll have significantly less time to dedicate to development and maintenance. I hope you understand that this is a necessary step for maintaining a healthy work-life balance.

You are still welcome to contribute to the project following the guidelines above. However, if you're looking to build something for business purposes, I strongly recommend exploring the alternatives mentioned earlier.

Thank you for your understanding and continued support of LoLLMS. Despite these temporary constraints, I remain passionate about the project and its innovative contributions to the AI community.

Best regards, ParisNeo