Clean up startup diagnostics and debug route

Pin opencv-python-headless to stable 4.10.0.84

Simplify debug_cv2() response

Add debug endpoint for cv2 diagnostics

Add cv2 startup diagnostics

Merge branch 'main' of https://github.com/ZawarFahim/Netsol-Chatbot

Fix Hugging Face deploy: add libglib2.0-0 system dependency for OpenCV

Refactor the code

Add new line to requirements.txt

Add trace flushing for Langfuse telemetry

Switch LLM model and include usage in responses

Fix Langfuse, add LOGFIRE env

guardrails were not working. corrected that

Avoid RAG searches for greetings in system prompt

Update llm.py

Switch to local free HuggingFace embeddings

Switch decommissioned model to active llama-3.1-8b-instant

used groq api insteal of open router api

Fix: Restore YAML metadata block at the top of README

Update README

Doc: Update README with deployment, secrets, and CI/CD pipelines

Restore: Switch back to openai/gpt-4o-mini

Update chat.py

Fix: Strip literal quotes from environment variables in tracing

Fix: Switch to free Gemini model for OpenRouter

Update CD Pipeline to deploy to Hugging Face

Remove unused Render and GCP CD workflows

Deploy: Add Hugging Face CD pipeline and API endpoint fixes

Fix: Dynamically set API URL based on host domain

Fix build: switch to headless OpenCV and simplify Dockerfile

Add YAML frontmatter to README

Add dependencies

manual deploy

Update ci.yml

Update workflow actions to latest major versions

Add GCP deploy workflow and Dockerfile

Remove .env.example file

done

fixed it

Add session persistence and login_method metadata

faceid

Revamp README with full project overview

Merge branch 'main' of https://github.com/ZawarFahim/Netsol-Chatbot

Add frontend chat UI and login page

ui

Improve auth and face service error handling

Trigger CD on CI pipeline completion

Scope RAG search to user and improve uploads

Restructure backend modules and update imports

Use shared DB, improve RAG tools and UI