Spaces:
Running
Running
Mhammad Ibrahim
commited on
Commit
·
71ee3cd
1
Parent(s):
fa2a0ad
Add application file
Browse files- .gradio/certificate.pem +31 -0
- app.py +48 -0
- class_names.txt +100 -0
- pytorch_model.bin +3 -0
.gradio/certificate.pem
ADDED
@@ -0,0 +1,31 @@
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-----BEGIN CERTIFICATE-----
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MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
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-----END CERTIFICATE-----
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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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if isinstance(im, dict):
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im = im['composite']
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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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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=True,
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)
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interface.launch(share=True)
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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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