EmicoBinsfinder commited on
Commit
46d20c8
·
1 Parent(s): 192d9af

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -37,14 +37,14 @@ def bot(history):
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  ########## LOADING PRE-COMPUTED EMBEDDINGS ##########
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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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  Number = 10
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  broad_scope_predictions = classification.broad_scope_class_predictor(class_embeddings, in_emb, Number, Sensitivity='High')
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- return broad_scope_predictions[1], searchlink
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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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- Task = gr.Dropdown(["Generate Description", "Generate Abstract", "Benefits of the invention"], label='Choose Generation Type Here')
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  with gr.Row(scale=1, min_width=600):
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  text1 = gr.Textbox(label="Input",
@@ -178,7 +178,7 @@ with gr.Blocks(title='Claimed', theme=theme) as demo:
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  Click on the link to initiate either an Espacenet or Google Patents classification search using the generated classifications. You can specify which you would like using the dropdown menu.
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  """)
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- SearchType = gr.Dropdown(["Google Patent Search", "Espacenet Patent Search"], label='Choose Search Type Here', value='Google Patent Search')
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  with gr.Row(scale=1, min_width=600):
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  userin = gr.Textbox(label="Input",
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  placeholder='Type in your Claim/Description/Abstract Here')
@@ -200,7 +200,7 @@ with gr.Blocks(title='Claimed', theme=theme) as demo:
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  """)
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- chatbot = gr.Chatbot([], elem_id="Claimed Assistant").style(height=200)
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  with gr.Row():
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  with gr.Column(scale=0.85):
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  txt = gr.Textbox(
 
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  ########## LOADING PRE-COMPUTED EMBEDDINGS ##########
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  class_embeddings = pd.read_csv('Embeddings/MainClassEmbeddings.csv')
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+ def classifier(userin):
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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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  Number = 10
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  broad_scope_predictions = classification.broad_scope_class_predictor(class_embeddings, in_emb, Number, Sensitivity='High')
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+ return broad_scope_predictions[1]
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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')
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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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  Click on the link to initiate either an Espacenet or Google Patents classification search using the generated classifications. You can specify which you would like using the dropdown menu.
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  """)
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+ gr.Dropdown(["Google Patent Search", "Espacenet Patent Search"], label='Choose Search Type Here')
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  with gr.Row(scale=1, min_width=600):
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  userin = gr.Textbox(label="Input",
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  placeholder='Type in your Claim/Description/Abstract Here')
 
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  """)
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+ chatbot = gr.Chatbot([], elem_id="Claimed Assistant").style(height=500)
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  with gr.Row():
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  with gr.Column(scale=0.85):
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  txt = gr.Textbox(