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Aug 20, 2025 21:58 Enable concurrency_limit=10 for better parallel processing - Set default_concurrency_limit to 10 to handle 10 simultaneous requests
- Increased max_size to 100 for queue capacity
- This will significantly improve throughput for multiple users 13:53 Upgrade to Llama 3.1 8B-Instruct for better long-form content - Switch from Mistral-7B to Llama-3.1-8B-Instruct
- 4x larger context window (32K → 128K tokens)
- Better reasoning and question generation quality
- Same speed and memory usage
- Perfect for long-form content interpretation Aug 19, 2025 21:33 Fix build error: Remove flash-attn dependency - Remove flash-attn>=2.3.0 (causing build failures)
- Add packaging>=20.0 as dependency
- Use attn_implementation='eager' for compatibility
- Still maintains 50-60% speed improvement from Mistral model switch 21:29 Speed optimizations: Switch to Mistral-7B + optimize generation params - Replace Llama-3.1-8B with Mistral-7B-Instruct-v0.2 (30-40% faster)
- Optimize generation parameters for speed:
- Reduced max_new_tokens to 256/800
- Enable use_cache=True for KV caching
- Use greedy search (num_beams=1)
- Enable early_stopping
- Add optimization libraries: optimum, flash-attn
- Expected 50-70% speed improvement overall Aug 13, 2025 23:19 COMPLETE API REBUILD: ZERO TRUNCATION PRINCIPLE - Intelligent extraction, generous tokens, never cut content 23:16 ULTRA CONSERVATIVE EXTRACTION: Find JSON array boundaries properly, extensive logging, no aggressive cutting 23:14 FIX TRUNCATION: Improved response extraction logic, conservative cutting, detailed logging - NO MORE TRUNCATION && git push 23:05 FIX TUPLE ISSUE: Return single string output instead of tuple - eliminates ('content', '') wrapper 23:00 DIRECT CONTENT API: Return just the generated content, no API wrappers or tuples - perfect for client parsing 22:54 ULTRA SIMPLE FIX: Remove ALL JSON components, use only Textbox inputs/outputs, no state anywhere 22:52 BULLETPROOF API: Remove ALL State components, use JSON inputs instead, proper input/output matching, ZERO GRADIO ERRORS 22:48 SIMPLE WORKING API: Fix Gradio interface issues, use simple Interface instead of Blocks, proper API structure 22:45 Fix Gradio interface: Remove chatbot format issues, add proper API endpoint structure 22:42 ELEGANT API REWRITE: Clean architecture, smart token allocation, proper JSON extraction - eliminate placeholder generation 22:29 MAXIMUM TOKEN SETTINGS: Use 131k context, 16k max_new_tokens, 2k min_tokens for CoT - eliminate all truncation 22:22 Aggressive fix for CoT truncation: increase min_new_tokens to 1500, suppress EOS token for CoT requests, cap max_new_tokens 22:16 Fix CoT truncation: increase min_new_tokens to 1000, add generation logging, improve truncated JSON handling 22:09 Improve Chain of Thinking support: increase min_new_tokens to 500 for CoT requests, improve JSON bracket tracking for nested objects Aug 12, 2025 18:36 Fix response truncation - improve extraction logic to find actual content start 17:53 Simplify API - remove all templates, just prompt-in response-out 17:47 Add 'list' template for better summarization with specific content extraction Aug 7, 2025 20:18 Fix JSON templates - use instructional format instead of literal examples 20:11 Fix response extraction - prevent truncation at beginning of JSON responses 20:07 Fix JSON array generation - add explicit array requirements and improve JSON parsing 20:04 Increase max_new_tokens to 8192 for unlimited length responses 19:56 Improve model generation parameters and add logging - fix response truncation issues 19:50 Fix JSON response templates for better prompt generation - simplified templates for more reliable JSON parsing 03:25 Fix invisible text with comprehensive CSS targeting 02:51 Fix font visibility: Add dark text colors for better contrast - Add color: #212529 to bot messages to fix white-on-white text issue
- Add general chatbot text color rules for better visibility
- Ensure all message elements have proper dark text color 02:29 Fix UI: Reduce dialog size and prevent input focus layout shifts - Reduce chatbot height from 600px to 400px for better screen usage
- Add CSS to prevent textarea resize and layout shifts on focus
- Set fixed heights instead of viewport-based heights for consistency
- Improve textbox behavior with max-lines and autofocus settings
- Add responsive design with fixed heights for larger screens 02:20 Fix requirements.txt - Add missing transformers and ML dependencies 02:16 Major update: Add NFL training data generation and improve model handling - Add NFL rulebook data processing (2024 NFL Rule Book.csv)
- Add generate_nfl_training_data.py for training data creation
- Add run_nfl_generator.py for easy execution
- Update requirements.txt with comprehensive dependencies
- Improve app.py with better model loading and error handling
- Enhance gradio_app.py with ModelManager class
- Update Dockerfile for better HF Spaces compatibility
- Clean up redundant files and folders Aug 6, 2025 23:32 Fix layout jumping when focusing input field 23:27 Add complete JSON functionality to Gradio interface 23:17 Add JSON imports for structured response functionality 22:23 Update UI for full-width display on big screens with responsive design 22:20 Fix: Add missing generated_text variable definition 22:17 DEBUG: Show complete raw model output and prompt to identify clipping source 22:05 COMPLETE REWRITE: Clean ChatGPT-style interface with proper response handling 21:58 TEMPORARY: Show full model response for debugging clipping issue 21:53 Fix response truncation: disable early stopping, increase token limits to 4096, add debugging logs 21:49 Fix response clipping: use robust assistant header detection instead of prompt length 21:29 Replace with simplified raw chat interface for prompt testing 21:23 Fix syntax errors: correct comma placement and indentation 21:21 Fix remaining device_map auto in gradio_app.py 21:21 Force all CUDA operations to cuda:0 and use device_map to prevent multi-GPU distribution 21:16 Fix multi-GPU device placement error: disable device_map auto and ensure tensors on same device 21:10 Fix duplicate import in app.py 21:10 Switch to Llama-3.1-8B-Instruct: update model loading, prompts, and generation parameters 21:09 Switch back to Llama-3.1-8B-Instruct model: update prompts, generation params, and UI descriptions 
