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Runtime error
Revert "test running API calls with user HF_TOKEN"
Browse filesThis reverts commit 24aa6b97f1fb8ce9581cd9e40402fd163fc896d3.
app.py
CHANGED
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@@ -1,9 +1,10 @@
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import random
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from typing import Tuple
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import
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import numpy as np
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import requests
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import spaces
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import torch
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from PIL import Image, ImageFilter
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@@ -22,8 +23,8 @@ MAX_SEED = np.iinfo(np.int32).max
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IMAGE_SIZE = 1024
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
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@@ -43,7 +44,6 @@ def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
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EXAMPLES = [
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[
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None,
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{
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"background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
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"layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2.png", stream=True).raw))],
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@@ -57,7 +57,6 @@ EXAMPLES = [
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30
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],
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[
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None,
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{
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"background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
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"layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3.png", stream=True).raw))],
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@@ -102,14 +101,8 @@ def is_image_empty(image: Image.Image) -> bool:
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return all(pixel == 0 for pixel in pixels)
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def set_client_for_session(request: gr.Request):
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x_ip_token = request.headers['x-ip-token']
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return Client("SkalskiP/florence-sam-masking", headers={"X-IP-Token": x_ip_token})
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@spaces.GPU(duration=100)
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def process(
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client,
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input_image_editor: dict,
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inpainting_prompt_text: str,
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masking_prompt_text: str,
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@@ -171,7 +164,6 @@ def process(
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with gr.Blocks() as demo:
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client_component = gr.State()
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gr.Markdown(MARKDOWN)
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with gr.Row():
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with gr.Column():
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@@ -248,7 +240,6 @@ with gr.Blocks() as demo:
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input_image_editor_component,
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inpainting_prompt_text_component,
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masking_prompt_text_component,
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masking_prompt_text_component,
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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@@ -278,6 +269,5 @@ with gr.Blocks() as demo:
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output_mask_component
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]
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)
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demo.load(set_client_for_session, None, client_component)
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demo.launch(debug=False, show_error=True)
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from typing import Tuple
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import os
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import requests
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import random
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import numpy as np
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import gradio as gr
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import spaces
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import torch
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from PIL import Image, ImageFilter
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IMAGE_SIZE = 1024
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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client = Client("SkalskiP/florence-sam-masking", hf_token=HF_TOKEN)
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def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
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EXAMPLES = [
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[
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{
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"background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
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"layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2.png", stream=True).raw))],
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30
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],
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[
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{
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"background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
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"layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3.png", stream=True).raw))],
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return all(pixel == 0 for pixel in pixels)
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@spaces.GPU(duration=100)
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def process(
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input_image_editor: dict,
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inpainting_prompt_text: str,
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masking_prompt_text: str,
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with gr.Blocks() as demo:
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gr.Markdown(MARKDOWN)
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with gr.Row():
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with gr.Column():
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input_image_editor_component,
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inpainting_prompt_text_component,
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masking_prompt_text_component,
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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output_mask_component
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]
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)
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demo.launch(debug=False, show_error=True)
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