* Add email OTP authentication system and private room management
## Authentication System
- Implement email OTP-based authentication with User and OTPToken models
- Add auth.py module with OTP generation, email sending, and session management
- Create authentication endpoints: /auth/send-otp, /auth/verify-otp, /auth/claim-name, /auth/status, /auth/logout
- Add authentication modal UI with email verification and display name claiming
- Support SMTP configuration via environment variables (optional)
## Room Privacy & Ownership
- Add is_private, is_archived, owner_id, and forked_from_id fields to Room model
- Implement private rooms (single-user, owner-only access)
- Add room forking: users can fork public rooms to public or private
- Add room archive/delete endpoints (owner-only operations)
- Implement access control for private room viewing
## UI Improvements
- Add public/private room tabs in sidebar
- Show authentication prompt in private rooms tab for non-authenticated users
- Add room action buttons (fork, archive, delete) with proper permissions
- Update homepage with statistics (public/private rooms, active users, active rooms)
- Remove model/voice from URL query strings, use localStorage exclusively
## Database Migration
- Create migration 2025011100 for User, OTPToken tables and Room model updates
- Add indexes for email, display_name, is_private, is_archived, owner_id
## Breaking Changes
- URL parameters now only include username (model/voice moved to localStorage)
- Private rooms require authentication to access
- Room creation can now require authentication (for private rooms)
* Update README with authentication and private room documentation
* Simplify README to be less verbose
* Add missing session import to fix linter errors
* Fix migration dependency to resolve multiple heads conflict
* asdf
* Fix SQLAlchemy auto-correlation error in homepage statistics query
* Change tagline from AI-Powered to Machine Learning Powered
* Add dedicated authentication page instead of modal
- Create new /auth route with full-page authentication flow
- Remove modal code from index.html
- Update Sign in link to point to /auth page
- Auth page has 4-step flow: email, OTP, display name, success
- Better UX with gradient background and cleaner design
* Fix migration: remove batch_alter_table to avoid circular dependency
- Use op.add_column() directly instead of batch_alter_table()
- Remove foreign key constraints (defined in models, not needed in migration)
- User and OTPToken tables created by db.create_all() in make init-db
- Fixes CircularDependencyError during migration
* Fix migration: check if columns exist before adding
- Use inspector to check existing columns and indexes
- Only add columns/indexes if they don't already exist
- Handles case where db.create_all() was run before migration
- Fixes 'duplicate column name' error
* Add profile page, room browsing, and updated_at timestamp
Features:
- Profile page with username change and dark/light mode settings
- Browse page for discovering public and private rooms
- Room updated_at timestamp (integer Unix epoch) that updates on new messages
- Dynamic room tabs based on current room type (public/private)
- Fork and delete room actions moved to right sidebar utility belt
- Remove archive feature and success alerts from room actions
Technical changes:
- Add updated_at column to Room model (integer timestamp)
- Add /profile route with authentication requirement
- Add /browse route for room discovery
- Add API endpoints for username availability check and update
- Update room.updated_at on message creation in app.py:1189
- Wider right sidebar (25% instead of 15%) for better button layout
- Profile link on homepage and browse page for authenticated users
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: russell@unturf. <russell@unturf.com>
Document new code execution feature with 30+ language support, isolated sandbox containers, and binary downloads. Also mention text-to-speech capability.
I replaced gpt-3.5-turbo workloads with openchat a local GPU powered inference server
The openchat inference server supports using the latest and official openai python client.
This means you can replace both standard and streaming workloads with an "offline" LLM.
modified: README.rst
modified: app.py
