Check user login status
Browse files
app.py
CHANGED
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@@ -7,10 +7,8 @@ import requests
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from io import BytesIO
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from PIL import Image
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import uuid
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# load_dotenv()
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example_path = os.path.join(os.path.dirname(__file__), 'assets')
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human_list = os.listdir(os.path.join(example_path, "human"))
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@@ -25,6 +23,9 @@ secret_key = os.getenv('secret_key')
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app_id = os.getenv('app_id')
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agent_version = os.getenv('agent_version')
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agent_name = os.getenv('agent_name')
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def parse_response(response):
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data = {}
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@@ -203,9 +204,48 @@ def load_description(file_path):
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return content
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def generate_image(main_image, text_description, did, request: gr.Request):
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if not did:
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did = str(uuid.uuid4())
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if main_image is None:
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m = "Please upload both the main image and the background reference image before generating."
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return gr.Warning(m), did
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@@ -214,7 +254,7 @@ def generate_image(main_image, text_description, did, request: gr.Request):
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x_forwarded_for = request.headers.get('x-forwarded-for')
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if x_forwarded_for:
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client_ip = x_forwarded_for
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-
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upload_image_data, upload_image_msg = upload_image(
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image=main_image,
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did=did,
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@@ -384,7 +424,7 @@ with gr.Blocks(css=css) as WeShop:
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"Low angle upward shot",
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],
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outputs=text_description_input
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-
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with gr.Column():
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with gr.Row():
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with gr.Column():
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@@ -406,22 +446,22 @@ with gr.Blocks(css=css) as WeShop:
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show_case = gr.Examples(
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examples=[
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[
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"assets/human/07.png",
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"Walking angle",
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"assets/examples/result_07_01.jpeg",
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],
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[
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"assets/human/01.png",
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"Following camera angle",
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"assets/examples/result_01_01.jpeg"
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],
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[
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"assets/human/06.png",
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"Change pose",
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"assets/examples/result_06_01.jpeg"
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],
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[
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"assets/human/04.png",
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"Keep the background unchanged, only change the person's pose",
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"assets/examples/result_04_01.jpeg"
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],
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@@ -434,4 +474,4 @@ with gr.Blocks(css=css) as WeShop:
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inputs=[main_image_input],
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outputs=main_image_input
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)
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WeShop.queue(api_open=False).launch(show_api=False)
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from io import BytesIO
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from PIL import Image
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import uuid
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import base64
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import json
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example_path = os.path.join(os.path.dirname(__file__), 'assets')
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human_list = os.listdir(os.path.join(example_path, "human"))
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app_id = os.getenv('app_id')
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agent_version = os.getenv('agent_version')
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agent_name = os.getenv('agent_name')
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login_status_key = os.getenv('login_status_key')
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login_info_key = os.getenv('login_info_key')
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def parse_response(response):
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data = {}
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return content
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def check_login_status(headers):
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if not headers:
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return False
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try:
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text = headers.get(login_status_key)
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if not text or "." not in text:
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return False
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infos = text.split(".")
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if len(infos) < 2:
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return False
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info = infos[1]
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cover = len(info) % 4
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if cover != 0:
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info += "=" * (4 - cover)
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decoded_bytes = base64.b64decode(info)
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decoded_str = decoded_bytes.decode('utf-8')
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datas = json.loads(decoded_str)
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data = datas.get(login_info_key)
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if not data:
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return False
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user_id = data.get("_id")
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user_name = data.get("user")
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return bool(user_id and user_name)
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except Exception as e:
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print(f"An error occurred: {repr(e)}")
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return False
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def generate_image(main_image, text_description, did, request: gr.Request):
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if not did:
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did = str(uuid.uuid4())
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login_status = check_login_status(request.request.headers)
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if not login_status:
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m = "Please log in to your Hugging Face account to use the features of this application."
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return gr.Warning(m), did
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if main_image is None:
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m = "Please upload both the main image and the background reference image before generating."
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return gr.Warning(m), did
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x_forwarded_for = request.headers.get('x-forwarded-for')
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if x_forwarded_for:
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client_ip = x_forwarded_for
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upload_image_data, upload_image_msg = upload_image(
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image=main_image,
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did=did,
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"Low angle upward shot",
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],
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outputs=text_description_input
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)
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with gr.Column():
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with gr.Row():
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with gr.Column():
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show_case = gr.Examples(
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examples=[
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[
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"assets/human/07.png",
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"Walking angle",
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"assets/examples/result_07_01.jpeg",
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],
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[
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"assets/human/01.png",
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"Following camera angle",
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"assets/examples/result_01_01.jpeg"
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],
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[
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"assets/human/06.png",
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"Change pose",
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"assets/examples/result_06_01.jpeg"
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],
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[
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"assets/human/04.png",
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"Keep the background unchanged, only change the person's pose",
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"assets/examples/result_04_01.jpeg"
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],
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inputs=[main_image_input],
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outputs=main_image_input
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)
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WeShop.queue(api_open=False).launch(show_api=False)
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