autonomous019 commited on
Commit
a7f36d2
1 Parent(s): 808eb6f
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -70,7 +70,7 @@ def self_caption(image):
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  preds = [pred.strip() for pred in preds]
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  print("Predictions")
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  print(preds)
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-
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  return(preds[0].split('.')[0])
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@@ -93,7 +93,7 @@ def classify_image(image):
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  image = gr.inputs.Image(type="pil")
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  image_piped = ""
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  label = gr.outputs.Label(num_top_classes=5)
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- examples = [["cats.jpg"], ["dog.jpg"]]
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  title = "Generate a Story from an Image"
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  description = "Demo for classifying images with Perceiver IO. To use it, simply upload an image and click 'submit' to let the model predict the 5 most probable ImageNet classes. Results will show up in a few seconds." + image_piped
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  article = "<p style='text-align: center'></p>"
@@ -118,6 +118,6 @@ print("running parallel call")
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  Parallel(
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  img_info1,
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  img_info2,
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- inputs=image, outputs=label, title=title, description=description, examples="", enable_queue=True).launch(debug=True)
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  preds = [pred.strip() for pred in preds]
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  print("Predictions")
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  print(preds)
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+ print("The preds type is : ",type(preds))
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  return(preds[0].split('.')[0])
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  image = gr.inputs.Image(type="pil")
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  image_piped = ""
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  label = gr.outputs.Label(num_top_classes=5)
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+ examples = [["cats.jpg"]]
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  title = "Generate a Story from an Image"
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  description = "Demo for classifying images with Perceiver IO. To use it, simply upload an image and click 'submit' to let the model predict the 5 most probable ImageNet classes. Results will show up in a few seconds." + image_piped
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  article = "<p style='text-align: center'></p>"
 
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  Parallel(
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  img_info1,
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  img_info2,
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+ inputs=image, outputs=label, title=title, description=description, examples=examples, enable_queue=True).launch(debug=True)
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