JoBeer commited on
Commit
13fca63
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1 Parent(s): c9fad14

Update app.py

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Files changed (1) hide show
  1. app.py +6 -2
app.py CHANGED
@@ -67,8 +67,12 @@ def predict(name, description, language, classCode='nofilter', top_k=10):
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  #gradio user interface
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  with gr.Blocks() as demo:
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  with gr.Row():
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- gr.Markdown("""# ECLASS-Search-Demo
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- This is a semantic search application that maps unknown product properties to the ECLASS standard. It is created by ECLASS e.V. in collaboration with the GART-labortory of the cologne university of applied science.""") #This demo provides a semantic search application for ECLASS features.
 
 
 
 
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  with gr.Row():
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  #inputs
 
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  #gradio user interface
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  with gr.Blocks() as demo:
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  with gr.Row():
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+ with gr.Column(scale=15):
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+ gr.Markdown(""" # ECLASS-Search-Demo
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+ This is a semantic search application that maps unknown product properties to the ECLASS standard. It is created by ECLASS e.V. in collaboration with the GART-labortory of the cologne university of applied science.""")
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+ with gr.Column(scale=1):
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+ gr.Markdown("""<p align="right"><img src='data:image/png;base64,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' width=300p></p>""")
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+
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77
  with gr.Row():
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  #inputs