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Pranomvignesh commited on
Commit
f2a6c90
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1 Parent(s): 419e1eb

Modified examples

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Files changed (1) hide show
  1. app.py +9 -8
app.py CHANGED
@@ -8,6 +8,7 @@ imageClassifier = pipeline(task="image-classification",
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  model = yolov5.load('./gentle-meadow.pt', device="cpu")
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  def predict(image):
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  # results = model([image], size=224)
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  predictions = imageClassifier(image)
@@ -21,14 +22,14 @@ description = """
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  Try the examples at bottom to get started.
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  """
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  examples = [
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- [os.path.join(os.path.abspath(''), './examples/sample_1.png')],
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- [os.path.join(os.path.abspath(''), './examples/sample_2.png')],
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- [os.path.join(os.path.abspath(''), './examples/sample_3.jpg')],
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- [os.path.join(os.path.abspath(''), './examples/sample_4.jpg')],
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- [os.path.join(os.path.abspath(''), './examples/sample_5.jpg')],
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- [os.path.join(os.path.abspath(''), './examples/sample_6.jpg')],
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- [os.path.join(os.path.abspath(''), './examples/sample_7.jpg')],
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- [os.path.join(os.path.abspath(''), './examples/sample_8.jpg')],
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  ]
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  inputs = gr.Image(type="pil", shape=(224, 224),
 
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  model = yolov5.load('./gentle-meadow.pt', device="cpu")
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+
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  def predict(image):
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  # results = model([image], size=224)
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  predictions = imageClassifier(image)
 
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  Try the examples at bottom to get started.
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  """
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  examples = [
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+ [os.path.abspath('./examples/sample_1.png')],
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+ [os.path.abspath('./examples/sample_2.png')],
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+ [os.path.abspath('./examples/sample_3.jpg')],
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+ [os.path.abspath('./examples/sample_4.jpg')],
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+ [os.path.abspath('./examples/sample_5.jpg')],
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+ [os.path.abspath('./examples/sample_6.jpg')],
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+ [os.path.abspath('./examples/sample_7.jpg')],
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+ [os.path.abspath('./examples/sample_8.jpg')],
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  ]
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  inputs = gr.Image(type="pil", shape=(224, 224),