Agents-MCP-Hackathon/Python-Code-to-Diagram-Generator-MCP

1# This file was autogenerated by uv via the following command:2#    uv pip compile pyproject.toml -o requirements.txt3aiofiles==24.1.04    # via gradio5aiohappyeyeballs==2.6.16    # via aiohttp7aiohttp==3.12.98    # via fsspec9aiosignal==1.3.210    # via aiohttp11annotated-types==0.7.012    # via pydantic13anyio==4.9.014    # via15    #   gradio16    #   httpx17    #   mcp18    #   sse-starlette19    #   starlette20attrs==25.3.021    # via aiohttp22blinker==1.9.023    # via flask24certifi==2025.4.2625    # via26    #   httpcore27    #   httpx28    #   requests29charset-normalizer==3.4.230    # via requests31click==8.2.132    # via33    #   flask34    #   typer35    #   uvicorn36colorama==0.4.637    # via38    #   click39    #   tqdm40contourpy==1.3.241    # via matplotlib42cycler==0.12.143    # via matplotlib44datasets==3.6.045    # via gradio-plant-uml (pyproject.toml)46dill==0.3.847    # via48    #   datasets49    #   multiprocess50fastapi==0.115.1251    # via52    #   gradio-plant-uml (pyproject.toml)53    #   gradio54ffmpy==0.6.055    # via gradio56filelock==3.18.057    # via58    #   datasets59    #   huggingface-hub60    #   transformers61flask==3.1.162    # via gradio-plant-uml (pyproject.toml)63fonttools==4.58.164    # via matplotlib65frozenlist==1.6.266    # via67    #   aiohttp68    #   aiosignal69fsspec==2025.3.070    # via71    #   datasets72    #   gradio-client73    #   huggingface-hub74gradio==5.33.075    # via gradio-plant-uml (pyproject.toml)76gradio-client==1.10.277    # via gradio78graphviz==0.20.379    # via gradio-plant-uml (pyproject.toml)80groovy==0.1.281    # via gradio82h11==0.16.083    # via84    #   httpcore85    #   uvicorn86httpcore==1.0.987    # via httpx88httplib2==0.22.089    # via plantuml90httpx==0.28.191    # via92    #   gradio93    #   gradio-client94    #   mcp95    #   safehttpx96httpx-sse==0.4.097    # via mcp98huggingface-hub==0.32.499    # via100    #   datasets101    #   gradio102    #   gradio-client103    #   tokenizers104    #   transformers105idna==3.10106    # via107    #   anyio108    #   httpx109    #   requests110    #   yarl111itsdangerous==2.2.0112    # via flask113jinja2==3.1.6114    # via115    #   flask116    #   gradio117    #   pyan3118joblib==1.5.1119    # via scikit-learn120kiwisolver==1.4.8121    # via matplotlib122markdown-it-py==3.0.0123    # via rich124markupsafe==3.0.2125    # via126    #   flask127    #   gradio128    #   jinja2129    #   werkzeug130matplotlib==3.10.3131    # via gradio-plant-uml (pyproject.toml)132mcp==1.9.0133    # via gradio134mdurl==0.1.2135    # via markdown-it-py136multidict==6.4.4137    # via138    #   aiohttp139    #   yarl140multiprocess==0.70.16141    # via datasets142numpy==2.2.6143    # via144    #   gradio-plant-uml (pyproject.toml)145    #   contourpy146    #   datasets147    #   gradio148    #   matplotlib149    #   pandas150    #   scikit-learn151    #   scipy152    #   transformers153orjson==3.10.18154    # via gradio155packaging==25.0156    # via157    #   datasets158    #   gradio159    #   gradio-client160    #   huggingface-hub161    #   matplotlib162    #   transformers163pandas==2.3.0164    # via165    #   gradio-plant-uml (pyproject.toml)166    #   datasets167    #   gradio168pillow==11.2.1169    # via170    #   gradio171    #   matplotlib172plantuml==0.3.0173    # via gradio-plant-uml (pyproject.toml)174polars==1.30.0175    # via gradio-plant-uml (pyproject.toml)176propcache==0.3.1177    # via178    #   aiohttp179    #   yarl180py2puml==0.10.0181    # via gradio-plant-uml (pyproject.toml)182pyan3==1.2.0183    # via gradio-plant-uml (pyproject.toml)184pyarrow==20.0.0185    # via datasets186pydantic==2.11.5187    # via188    #   fastapi189    #   gradio190    #   mcp191    #   pydantic-settings192pydantic-core==2.33.2193    # via pydantic194pydantic-settings==2.9.1195    # via mcp196pydub==0.25.1197    # via gradio198pygments==2.19.1199    # via rich200pyparsing==3.2.3201    # via202    #   httplib2203    #   matplotlib204python-dateutil==2.9.0.post0205    # via206    #   matplotlib207    #   pandas208python-dotenv==1.1.0209    # via pydantic-settings210python-multipart==0.0.20211    # via212    #   gradio213    #   mcp214pytz==2025.2215    # via pandas216pyyaml==6.0.2217    # via218    #   datasets219    #   gradio220    #   huggingface-hub221    #   transformers222regex==2024.11.6223    # via transformers224requests==2.32.3225    # via226    #   gradio-plant-uml (pyproject.toml)227    #   datasets228    #   huggingface-hub229    #   transformers230rich==14.0.0231    # via typer232ruff==0.11.13233    # via gradio234safehttpx==0.1.6235    # via gradio236safetensors==0.5.3237    # via transformers238scikit-learn==1.7.0239    # via gradio-plant-uml (pyproject.toml)240scipy==1.15.3241    # via scikit-learn242semantic-version==2.10.0243    # via gradio244shellingham==1.5.4245    # via typer246six==1.17.0247    # via python-dateutil248sniffio==1.3.1249    # via anyio250sse-starlette==2.3.6251    # via mcp252starlette==0.46.2253    # via254    #   fastapi255    #   gradio256    #   mcp257threadpoolctl==3.6.0258    # via scikit-learn259tokenizers==0.21.1260    # via transformers261tomlkit==0.13.3262    # via gradio263tqdm==4.67.1264    # via265    #   datasets266    #   huggingface-hub267    #   transformers268transformers==4.52.4269    # via gradio-plant-uml (pyproject.toml)270typer==0.16.0271    # via gradio272typing-extensions==4.14.0273    # via274    #   anyio275    #   fastapi276    #   gradio277    #   gradio-client278    #   huggingface-hub279    #   pydantic280    #   pydantic-core281    #   typer282    #   typing-inspection283typing-inspection==0.4.1284    # via285    #   pydantic286    #   pydantic-settings287tzdata==2025.2288    # via pandas289urllib3==2.4.0290    # via requests291uvicorn==0.34.3292    # via293    #   gradio294    #   mcp295websockets==15.0.1296    # via gradio-client297werkzeug==3.1.3298    # via flask299xxhash==3.5.0300    # via datasets301yarl==1.20.0302    # via aiohttp303