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Runtime error
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f44449f
1
Parent(s):
75d772f
Update app.py
Browse files
app.py
CHANGED
@@ -119,31 +119,27 @@ def main(args):
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# share=False, # should we create a (temporary) public link on https://gradio.app?
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# favicon_path=FAVICON, # what icon should we display in the address bar?
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)
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def make_frontend(
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fn: Callable[[Image], str], flagging: bool = False, gantry: bool = False, app_name: str = "fashion-aggregator"
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):
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"""Creates a gradio.Interface frontend for text to image search function."""
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allow_flagging = "never"
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print(LOGO)
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textbox = gr.inputs.Textbox(label="Item Description")
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# Build a customized browser interface to a Python function
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frontend = gr.Interface(
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fn=fn,
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outputs=gr.
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inputs=
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title="<span class='title-text'>Fashion Aggregator</span><img src='{
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thumbnail=LOGO,
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description="Discover your perfect apparel effortlessly. Simply describe what you're looking for!",
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allow_flagging=allow_flagging,
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flagging_options=["incorrect", "offensive", "other"],
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)
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# Customize the HTML template to include the disclaimer
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frontend.template = """
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<!DOCTYPE html>
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<html>
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@@ -165,12 +161,17 @@ def make_frontend(
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margin-top: 20px;
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text-align: center;
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}
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</style>
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</head>
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<body>
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<div class="disclaimer">
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This web app is for demonstration purposes only and not intended for commercial use.
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</div>
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{{interface_html}}
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<div class="disclaimer">
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This web app is for demonstration purposes only and not intended for commercial use.
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@@ -181,20 +182,27 @@ def make_frontend(
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return frontend
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class PredictorBackend:
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# share=False, # should we create a (temporary) public link on https://gradio.app?
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# favicon_path=FAVICON, # what icon should we display in the address bar?
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)
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def make_frontend(
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fn: Callable[[Image], str], flagging: bool = False, gantry: bool = False, app_name: str = "fashion-aggregator"
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):
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"""Creates a gradio.Interface frontend for text to image search function."""
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allow_flagging = "never"
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# Build a customized browser interface to a Python function
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frontend = gr.Interface(
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fn=fn,
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outputs=gr.Gallery(label="Relevant Items", show_labels=True, label_position="below"),
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inputs=gr.inputs.Textbox(label="Item Description", placeholder="Enter item description here"),
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title="<span class='title-text'>Fashion Aggregator</span><img src='{logo}' class='logo-image'>".format(logo=LOGO),
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thumbnail=LOGO,
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description="Discover your perfect apparel effortlessly. Simply describe what you're looking for!",
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cache_examples=False,
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allow_flagging=allow_flagging,
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flagging_options=["incorrect", "offensive", "other"],
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)
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# Customize the HTML template to include the disclaimer and style the title
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frontend.template = """
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<!DOCTYPE html>
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<html>
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margin-top: 20px;
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text-align: center;
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}
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.title-text {
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display: inline-block;
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}
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.logo-image {
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display: inline-block;
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vertical-align: middle;
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margin-left: 10px;
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}
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</style>
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</head>
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<body>
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{{interface_html}}
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<div class="disclaimer">
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This web app is for demonstration purposes only and not intended for commercial use.
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return frontend
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# def make_frontend(
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# fn: Callable[[Image], str], flagging: bool = False, gantry: bool = False, app_name: str = "fashion-aggregator"
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# ):
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# """Creates a gradio.Interface frontend for text to image search function."""
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# allow_flagging = "never"
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# # Build a customized browser interface to a Python function
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# frontend = gr.Interface(
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# fn=fn,
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# outputs=gr.Gallery(label="Relevant Items", show_labels=True, label_position="below"),
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# inputs=gr.inputs.Textbox(label="Item Description", placeholder="Enter item description here"),
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# title="Fashion Aggregator",
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# thumbnail=FAVICON,
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# description="Discover your perfect apparel effortlessly. Simply describe what you're looking for!",
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# cache_examples=False,
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# allow_flagging=allow_flagging,
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# flagging_options=["incorrect", "offensive", "other"],
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# )
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# return frontend
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class PredictorBackend:
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