Spaces:
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fix: gradio update
Browse filesSigned-off-by: ivelin <[email protected]>
- .gitignore +1 -0
- app.py +51 -38
- start-ec2-service.sh +10 -0
.gitignore
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__pycache__/
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__pycache__/
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flagged/
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app.py
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@@ -7,18 +7,26 @@ import html
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from transformers import DonutProcessor, VisionEncoderDecoderModel
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global model, processor, device
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def load_model(pretrained_revision: str = 'main'):
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global model, processor, device
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pretrained_repo_name = 'ivelin/donut-refexp-click'
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# revision can be git commit hash, branch or tag
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# use 'main' for latest revision
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print(
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f"Loading model checkpoint from repo: {pretrained_repo_name}, revision: {pretrained_revision}")
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processor = DonutProcessor.from_pretrained(
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pretrained_repo_name, revision=pretrained_revision, use_auth_token="
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processor.image_processor.do_align_long_axis = False
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# do not manipulate image size and position
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processor.image_processor.do_resize = False
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@@ -28,8 +36,8 @@ def load_model(pretrained_revision: str = 'main'):
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processor.image_processor.do_normalize = True
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print(f'processor image size: {processor.image_processor.size}')
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model = VisionEncoderDecoderModel.from_pretrained(
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pretrained_repo_name, use_auth_token="
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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@@ -90,7 +98,7 @@ def translate_point_coords_from_out_to_in(point=None, input_image_size=None, out
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f"translated point={point}, resized_image_size: {resized_width, resized_height}")
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def process_refexp(image, prompt: str, model_revision: str = 'main'):
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print(f"(image, prompt): {image}, {prompt}")
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@@ -183,13 +191,16 @@ def process_refexp(image, prompt: str, model_revision: str = 'main'):
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print(
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f"to image pixel values: x, y: {x, y}")
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return image, center_point
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@@ -197,33 +208,34 @@ def process_refexp(image, prompt: str, model_revision: str = 'main'):
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title = "Demo: GuardianUI RefExp Click"
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description = "Gradio Demo for Donut RefExp task, an instance of `VisionEncoderDecoderModel` fine-tuned on [UIBert RefExp](https://huggingface.co/datasets/ivelin/ui_refexp_saved) Dataset (UI Referring Expression). To use it, simply upload your image and type a prompt and click 'submit', or click one of the examples to load them. Optionally enter value for model git revision; latest checkpoint will be used by default."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.15664' target='_blank'>Donut: OCR-free Document Understanding Transformer</a> | <a href='https://github.com/clovaai/donut' target='_blank'>Github Repo</a></p>"
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examples = [["example_1.jpg", "select the setting icon from top right corner", ""],
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["example_1.jpg", "click on down arrow beside the entertainment", ""],
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["example_1.jpg", "select the down arrow button beside lifestyle", ""],
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["example_1.jpg", "click on the image beside the option traffic", ""],
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["example_3.jpg", "select the third row first image", ""],
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["example_3.jpg", "click the tick mark on the first image", ""],
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["example_3.jpg", "select the ninth image", ""],
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["example_3.jpg", "select the add icon", ""],
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["example_3.jpg", "click the first image", ""],
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["val-image-4.jpg", 'select 4153365454', ""],
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['val-image-4.jpg', 'go to cell', ""],
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['val-image-4.jpg', 'select number above cell', ""],
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["val-image-1.jpg", "select calendar option", ""],
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["val-image-1.jpg", "select photos&videos option", ""],
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["val-image-2.jpg", "click on change store", ""],
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["val-image-2.jpg", "click on shop menu at the bottom", ""],
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["val-image-3.jpg", "click on image above short meow", ""],
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["val-image-3.jpg", "go to cat sounds", ""],
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["example_2.jpg", "click on green color button", ""],
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["example_2.jpg", "click on text which is beside call now", ""],
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["example_2.jpg", "click on more button", ""],
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["example_2.jpg", "enter the text field next to the name", ""],
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]
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demo = gr.Interface(fn=process_refexp,
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inputs=[gr.Image(type="pil"), "text", "text"
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title=title,
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description=description,
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article=article,
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@@ -232,4 +244,5 @@ demo = gr.Interface(fn=process_refexp,
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cache_examples=False
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)
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from transformers import DonutProcessor, VisionEncoderDecoderModel
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global model, loaded_revision, processor, device
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model = None
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previous_revision = None
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processor = None
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device = None
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loaded_revision = None
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def load_model(pretrained_revision: str = 'main'):
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global model, loaded_revision, processor, device
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pretrained_repo_name = 'ivelin/donut-refexp-click'
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# revision can be git commit hash, branch or tag
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# use 'main' for latest revision
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print(
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f"Loading model checkpoint from repo: {pretrained_repo_name}, revision: {pretrained_revision}")
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if processor is None or loaded_revision is None or loaded_revision != pretrained_revision:
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loaded_revision = pretrained_revision
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processor = DonutProcessor.from_pretrained(
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pretrained_repo_name, revision=pretrained_revision) # , use_auth_token="...")
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processor.image_processor.do_align_long_axis = False
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# do not manipulate image size and position
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processor.image_processor.do_resize = False
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processor.image_processor.do_normalize = True
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print(f'processor image size: {processor.image_processor.size}')
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model = VisionEncoderDecoderModel.from_pretrained(
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pretrained_repo_name, revision=pretrained_revision) # use_auth_token="...",
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print(f'model checkpoint loaded')
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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f"translated point={point}, resized_image_size: {resized_width, resized_height}")
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def process_refexp(image, prompt: str, model_revision: str = 'main', return_annotated_image: bool = True):
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print(f"(image, prompt): {image}, {prompt}")
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print(
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f"to image pixel values: x, y: {x, y}")
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if return_annotated_image:
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# draw center point circle
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img1 = ImageDraw.Draw(image)
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r = 30
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shape = [(x-r, y-r), (x+r, y+r)]
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img1.ellipse(shape, outline="green", width=20)
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img1.ellipse(shape, outline="white", width=10)
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else:
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# do not return image if its an API call to save bandwidth
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image = None
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return image, center_point
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title = "Demo: GuardianUI RefExp Click"
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description = "Gradio Demo for Donut RefExp task, an instance of `VisionEncoderDecoderModel` fine-tuned on [UIBert RefExp](https://huggingface.co/datasets/ivelin/ui_refexp_saved) Dataset (UI Referring Expression). To use it, simply upload your image and type a prompt and click 'submit', or click one of the examples to load them. Optionally enter value for model git revision; latest checkpoint will be used by default."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.15664' target='_blank'>Donut: OCR-free Document Understanding Transformer</a> | <a href='https://github.com/clovaai/donut' target='_blank'>Github Repo</a></p>"
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examples = [["example_1.jpg", "select the setting icon from top right corner", "", True],
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["example_1.jpg", "click on down arrow beside the entertainment", "", True],
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["example_1.jpg", "select the down arrow button beside lifestyle", "", True],
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["example_1.jpg", "click on the image beside the option traffic", "", True],
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["example_3.jpg", "select the third row first image", "", True],
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["example_3.jpg", "click the tick mark on the first image", "", True],
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["example_3.jpg", "select the ninth image", "", True],
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["example_3.jpg", "select the add icon", "", True],
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["example_3.jpg", "click the first image", "", True],
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["val-image-4.jpg", 'select 4153365454', "", True],
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['val-image-4.jpg', 'go to cell', "", True],
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['val-image-4.jpg', 'select number above cell', "", True],
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["val-image-1.jpg", "select calendar option", "", True],
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["val-image-1.jpg", "select photos&videos option", "", True],
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["val-image-2.jpg", "click on change store", "", True],
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["val-image-2.jpg", "click on shop menu at the bottom", "", True],
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["val-image-3.jpg", "click on image above short meow", "", True],
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["val-image-3.jpg", "go to cat sounds", "", True],
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["example_2.jpg", "click on green color button", "", True],
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["example_2.jpg", "click on text which is beside call now", "", True],
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["example_2.jpg", "click on more button", "", True],
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["example_2.jpg", "enter the text field next to the name", "", True],
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]
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demo = gr.Interface(fn=process_refexp,
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inputs=[gr.Image(type="pil"), "text", "text", gr.Checkbox(
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value=True, label="Return Annotated Image", visible=False)],
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outputs=[gr.Image(type="pil"), "json"],
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title=title,
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description=description,
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article=article,
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cache_examples=False
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)
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# share=True when running in a Jupyter Notebook
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demo.launch(server_name="0.0.0.0")
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start-ec2-service.sh
ADDED
@@ -0,0 +1,10 @@
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echo "Starting a service on a aws ec2 instance"
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echo "Start this script within tmux session in order to keep it running after the EC2 console closes"
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source activate pytorch
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cd ui-refexp-click/
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pip3 install -r requirements.txt
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python3 -m app
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echo "\n\n\n-----\n\n\n"
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echo "Press CTRL+B then D to detach from terminal without killing the app"
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echo "Then use 'tmux attach' to reconnect to the virtual terminal"
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