Spaces:
Sleeping
Sleeping
Initial working tutorial version with gradio downgraded to 3.50.2 due to image formatting problems
Browse files- .gitignore +2 -0
- app.py +51 -0
- class_names.txt +100 -0
- pytorch_model.bin +3 -0
- requirements.txt +88 -0
.gitignore
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.ipynb_checkpoints/
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__pycache__
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app.py
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from pathlib import Path
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import torch
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import gradio as gr
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from torch import nn
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LABELS = Path("class_names.txt").read_text().splitlines()
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model = nn.Sequential(
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nn.Conv2d(1, 32, 3, padding="same"),
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nn.ReLU(),
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nn.MaxPool2d(2),
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nn.Conv2d(32, 64, 3, padding="same"),
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nn.ReLU(),
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nn.MaxPool2d(2),
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nn.Conv2d(64, 128, 3, padding="same"),
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nn.ReLU(),
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nn.MaxPool2d(2),
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nn.Flatten(),
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nn.Linear(1152, 256),
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nn.ReLU(),
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nn.Linear(256, len(LABELS)),
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)
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state_dict = torch.load("pytorch_model.bin", map_location="cpu")
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model.load_state_dict(state_dict, strict=False)
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model.eval()
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def predict(im):
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x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.0
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with torch.no_grad():
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out = model(x)
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probabilities = torch.nn.functional.softmax(out[0], dim=0)
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values, indices = torch.topk(probabilities, 5)
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return {LABELS[i]: v.item() for i, v in zip(indices, values)}
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# import gradio as gr
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# from app import predict
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interface = gr.Interface(
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predict,
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inputs="sketchpad",
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outputs="label",
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# theme="huggingface",
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title="Sketch Recognition",
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description="Who wants to play Pictionary? Draw a common object like a shovel or a laptop, and the algorithm will guess in real time!",
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article="<p style='text-align: center'>Sketch Recognition | Demo Model</p>",
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live=False,
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)
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interface.launch(share=False)
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class_names.txt
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airplane
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alarm_clock
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anvil
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apple
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axe
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baseball
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baseball_bat
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basketball
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beard
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bed
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bench
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bicycle
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bird
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book
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bread
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bridge
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broom
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butterfly
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camera
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candle
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car
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cat
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ceiling_fan
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cell_phone
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chair
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circle
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clock
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cloud
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coffee_cup
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cookie
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cup
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diving_board
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donut
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door
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drums
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dumbbell
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envelope
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eye
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eyeglasses
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face
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fan
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flower
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frying_pan
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grapes
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hammer
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hat
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headphones
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helmet
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hot_dog
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ice_cream
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key
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knife
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ladder
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laptop
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light_bulb
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lightning
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line
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lollipop
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microphone
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moon
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mountain
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moustache
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mushroom
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pants
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paper_clip
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pencil
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pillow
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pizza
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power_outlet
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radio
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rainbow
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rifle
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saw
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scissors
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screwdriver
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shorts
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shovel
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smiley_face
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snake
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sock
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spider
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spoon
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square
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star
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stop_sign
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suitcase
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sun
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sword
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syringe
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t-shirt
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table
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tennis_racquet
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tent
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tooth
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traffic_light
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tree
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triangle
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umbrella
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wheel
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wristwatch
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:effb6ea6f1593c09e8247944028ed9c309b5ff1cef82ba38b822bee2ca4d0f3c
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size 1656903
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requirements.txt
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aiofiles==23.2.1
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altair==5.3.0
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annotated-types==0.7.0
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anyio==4.4.0
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attrs==23.2.0
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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contourpy==1.2.1
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cycler==0.12.1
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dnspython==2.6.1
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email_validator==2.1.1
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fastapi==0.111.0
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fastapi-cli==0.0.4
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ffmpy==0.3.2
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filelock==3.14.0
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fonttools==4.52.4
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fsspec==2024.5.0
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gradio==3.50.2
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gradio_client==0.6.1
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h11==0.14.0
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httpcore==1.0.5
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httptools==0.6.1
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httpx==0.27.0
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huggingface-hub==0.23.2
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idna==3.7
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importlib_resources==6.4.0
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Jinja2==3.1.4
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jsonschema==4.22.0
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.9.0
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mdurl==0.1.2
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mpmath==1.3.0
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networkx==3.3
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numpy==1.26.4
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nvidia-cublas-cu12==12.1.3.1
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nvidia-cuda-cupti-cu12==12.1.105
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nvidia-cuda-nvrtc-cu12==12.1.105
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nvidia-cuda-runtime-cu12==12.1.105
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nvidia-cudnn-cu12==8.9.2.26
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nvidia-cufft-cu12==11.0.2.54
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nvidia-curand-cu12==10.3.2.106
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nvidia-cusolver-cu12==11.4.5.107
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nvidia-cusparse-cu12==12.1.0.106
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nvidia-nccl-cu12==2.20.5
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nvidia-nvjitlink-cu12==12.5.40
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nvidia-nvtx-cu12==12.1.105
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orjson==3.10.3
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packaging==24.0
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pandas==2.2.2
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pathlib==1.0.1
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pillow==10.3.0
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pydantic==2.7.1
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pydantic_core==2.18.2
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-dotenv==1.0.1
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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referencing==0.35.1
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requests==2.32.2
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rich==13.7.1
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rpds-py==0.18.1
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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starlette==0.37.2
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sympy==1.12
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toolz==0.12.1
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torch==2.3.0
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tqdm==4.66.4
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triton==2.3.0
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typer==0.12.3
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typing_extensions==4.12.0
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tzdata==2024.1
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ujson==5.10.0
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urllib3==2.2.1
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uvicorn==0.30.0
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uvloop==0.19.0
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watchfiles==0.22.0
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websockets==11.0.3
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