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Auto: deploy Nuclear Intelligence v5.0

Auto: deploy Nuclear Intelligence v5.0

Auto: deploy Nuclear Intelligence v5.0

Upload app.py with huggingface_hub

Upload requirements.txt with huggingface_hub

Upload requirements.txt with huggingface_hub

Upload app.py with huggingface_hub

🔧 Fix: Pin huggingface-hub to 0.24.7 to resolve Gradio compatibility issue

🔧 Fix: Resolve HfFolder import error and improve error logging

🚀 Deploy v5.0: Real LLM research, PoW mining, HF sync, 7-provider fallback

test: +plotly

test: reset

fix: try without huggingface-hub pin

fix: pin huggingface-hub<0.25 to fix HfFolder ImportError

test: add numpy

test: add pandas only

test: reset to just gradio

test: add gradio-client, pandas, numpy, plotly

test: minimal requirements to isolate pip install issue

fix: remove huggingface-hub pin (let HF base version handle it)

fix: pin huggingface-hub<0.25 to fix HfFolder ImportError in gradio 4.36

revert: restore full app.py

test: replace with bare-bones Gradio app to isolate build issue

fix: pin gradio==4.36.0 exactly (no range) and use tested versions

chore: remove conflicting Dockerfile and redundant files to fix HF Space build

fix: guard Gradio UI with `if not gradio_available` so missing imports exit cleanly instead of NameError

fix: complete requirements.txt (add duckduckgo-search, bs4, aiohttp, websockets, psutil)

fix: pin Python 3.11 to avoid pyaudioop error on Py 3.13

fix: add YAML frontmatter to README to resolve CONFIG_ERROR

Auto: deploy Nuclear Intelligence v5.0

🐛 fix(space): valid README front-matter (colorFrom/colorTo + app_file)

Auto: deploy Nuclear Intelligence v5.0

🛡️ v4.0: safety guard, enhanced eval, RAG boost, i18n, health check

🔧 Fix gradio version conflict (allow HF Spaces pinned version)

🔧 Fix CONFIG_ERROR: remove SPACE_ID env, update app.py with HF Router LLM

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload README.md with huggingface_hub

Upload app.py with huggingface_hub

Upload requirements.txt with huggingface_hub