EmicoBinsfinder commited on
Commit
9a92101
·
1 Parent(s): 4e42957

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -36,7 +36,7 @@ def bot(history):
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  class_embeddings = pd.read_csv('Embeddings/MainClassEmbeddings.csv')
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- def classifier(userin, searchlink):
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  clean_in = classification.clean_data(userin, type='String')
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  in_emb = classification.sentence_embedder(clean_in, 'Model_bert')
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@@ -46,7 +46,7 @@ def classifier(userin, searchlink):
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  return broad_scope_predictions[1], searchlink
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- # def generateresponse(history):
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  # """
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  # Model definition here:
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  # """
@@ -131,7 +131,7 @@ with gr.Blocks(title='Claimed', theme=theme) as demo:
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  Use this tool to expand your patent claim into a description. You can also use this tool to generate abstracts and give you ideas about the benefit of an invention by changing the settings in the dropdown menu.
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  """)
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- gr.Dropdown(["Generate Description", "Generate Abstract", "Benefits of the invention"], label='Choose Generation Type Here', value='Generate Description')
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  with gr.Row(scale=1, min_width=600):
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  text1 = gr.Textbox(label="Input",
 
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  class_embeddings = pd.read_csv('Embeddings/MainClassEmbeddings.csv')
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+ def classifier(userin, SearchType):
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  clean_in = classification.clean_data(userin, type='String')
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  in_emb = classification.sentence_embedder(clean_in, 'Model_bert')
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  return broad_scope_predictions[1], searchlink
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+ # def generateresponse(history, task):
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  # """
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  # Model definition here:
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  # """
 
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  Use this tool to expand your patent claim into a description. You can also use this tool to generate abstracts and give you ideas about the benefit of an invention by changing the settings in the dropdown menu.
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  """)
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+ Task = gr.Dropdown(["Generate Description", "Generate Abstract", "Benefits of the invention"], label='Choose Generation Type Here', value='Generate Description')
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  with gr.Row(scale=1, min_width=600):
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  text1 = gr.Textbox(label="Input",