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app.py
CHANGED
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# ===
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import gradio as gr
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# ===
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from PIL import Image
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import numpy as np
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import torch
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# === Python built-in === #
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import sys
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import os
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#
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# Q: Why use gr.Blocks instead of gr.Interface?
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# A: Only Blocks supports Layouts (and I'm more used to this)
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#
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with gr.Blocks() as demo:
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# ======================================== #
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gr.Markdown("""<h1 align="center">Hello World</h1>""")
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gr.Markdown("""<p align="center">For <b>learning</b> purposes only...</p>""")
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#
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# function name is
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#
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def
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info: list[str] = []
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info.append(f"OS: {os.name}")
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info.append(f"Python: {sys.version.split(' ', 1)[0]}")
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return "\n".join(info)
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def proc_image(
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) -> list[str, Image.Image]:
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return [log, image]
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with gr.Column():
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#
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input_image = gr.Image(
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value=None,
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image_mode="RGB",
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sources="upload",
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show_fullscreen_button=False,
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)
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with gr.Row():
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minimum=1,
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maximum=1024,
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step=1,
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interactive=True,
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)
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minimum=1,
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maximum=1024,
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step=1,
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interactive=True,
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)
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value=None,
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image_mode="RGB",
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sources="upload",
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show_fullscreen_button=False,
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)
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with gr.Column():
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#
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#
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#
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btn2 = gr.Button("Print Info")
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# ==================================== #
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# label is shown in the returns in API #
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# =================================== #
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# api_name is used as endpoint in API #
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# =================================== #
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fn=
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inputs=[input_image, target_w, target_h],
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outputs=[console_logs, output_image],
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show_progress="hidden",
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show_api=True,
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api_name="resizeImage",
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)
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btn2.click(
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fn=log,
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inputs=None,
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outputs=console_logs,
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show_progress="hidden",
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api_name="systemInfo",
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)
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demo.launch()
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# === Chosen SDK === #
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import gradio as gr
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# === requirements.txt === #
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from PIL import Image
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import numpy as np
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import torch
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import cv2
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# === Python built-in === #
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from io import BytesIO
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import base64
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import sys
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import os
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# =========================================================== #
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# Q: Why use gr.Blocks instead of gr.Interface? #
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# A: Only Blocks supports Layouts (and I'm more used to this) #
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# =========================================================== #
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with gr.Blocks() as demo:
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# ======================================== #
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gr.Markdown("""<h1 align="center">Hello World</h1>""")
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gr.Markdown("""<p align="center">For <b>learning</b> purposes only...</p>""")
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# ======================================= #
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# function name is overridden by api_name #
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# ======================================= #
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def whatever() -> str:
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info: list[str] = []
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info.append(f"OS: {os.name}")
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info.append(f"Python: {sys.version.split(' ', 1)[0]}")
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return "\n".join(info)
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# ==================================================================== #
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# parameter name is also shown as parameter name in API #
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# Note: parameter type has to be manually handled when called from API #
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# ==================================================================== #
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def proc_image(
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image: np.ndarray | str, width: int, height: int
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) -> list[str, Image.Image]:
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if isinstance(image, np.ndarray):
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image = Image.fromarray(image)
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elif isinstance(image, str):
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image = Image.open(BytesIO(base64.b64decode(image)))
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else:
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raise ValueError("Unsupported Image Type")
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if isinstance(width, float):
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width = int(width)
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if isinstance(height, float):
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height = int(height)
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input_w, input_h = image.size
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log = f"Resize a {input_w}x{input_h} image to {width}x{height}..."
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image = image.convert("RGB").resize((width, height))
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return [log, image]
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with gr.Column():
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# ==================================== #
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# variable name does not matter in API #
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# ==================================== #
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foo1 = gr.Image(
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value=None,
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image_mode="RGB",
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sources="upload",
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show_fullscreen_button=False,
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)
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# =============================================== #
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# Only value matters (shown as the Default value) #
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# =============================================== #
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with gr.Row():
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foo2 = gr.Slider(
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minimum=1,
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maximum=1024,
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step=1,
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interactive=True,
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)
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foo3 = gr.Slider(
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minimum=1,
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maximum=1024,
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step=1,
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interactive=True,
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)
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bar = gr.Image(
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value=None,
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image_mode="RGB",
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sources="upload",
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show_fullscreen_button=False,
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)
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yeet1 = gr.Button("Resize")
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with gr.Column():
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# ============================== #
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# Button does not show up in API #
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# ============================== #
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yeet2 = gr.Button("Print Info")
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# ==================================== #
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# label is shown in the returns in API #
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# =================================== #
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# api_name is used as endpoint in API #
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# order is based on event defination #
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# =================================== #
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yeet2.click(
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fn=whatever,
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inputs=None,
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outputs=console_logs,
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show_progress="hidden",
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api_name="systemInfo",
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)
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yeet1.click(
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fn=proc_image,
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inputs=[foo1, foo2, foo3],
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outputs=[console_logs, bar],
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show_progress="hidden",
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show_api=True,
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api_name="resizeImage",
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)
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demo.launch()
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