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app.py
CHANGED
@@ -8,9 +8,12 @@ from transformers import BartForSequenceClassification, BartTokenizer
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tokenizer_bart = BartTokenizer.from_pretrained('facebook/bart-large-mnli')
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model_bart_sq = BartForSequenceClassification.from_pretrained('facebook/bart-large-mnli')
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title="Stance Detection using Zero Shot"
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description="Welcome to the side where the grass is greener. This is a simple tool which was created with an aim to stance towards a given entity in a sentence. However, this is not the only use case of it!"
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def zs(premise,hypothesis):
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@@ -31,7 +34,9 @@ def zs(premise,hypothesis):
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with gr.Blocks() as demo:
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gr.Markdown(f" # {title}")
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gr.Markdown(f" ## {
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with gr.Row():
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premise = gr.Textbox(label="Premise",placeholder = "Roger Federer is an amazing tennis player.")
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hypothesis = gr.Textbox(label="Hypothesis", placeholder = "The stance to Roger Federer is positive.")
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tokenizer_bart = BartTokenizer.from_pretrained('facebook/bart-large-mnli')
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model_bart_sq = BartForSequenceClassification.from_pretrained('facebook/bart-large-mnli')
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title = "Stance Detection using Zero Shot"
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description1 = "Welcome to the side where the grass is greener."
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description2 = "This is a simple tool which was created with an aim to stance towards a given entity in a sentence. However, this is not the only use case of it!"
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description3 = "What did I do with it? Check out this [blog post](https://rachithaiyappa.github.io/science/Zero-Shot-for-Stance-Detection/) to see how it performs on some [SemEval](https://semeval.github.io/) tasks."
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def zs(premise,hypothesis):
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with gr.Blocks() as demo:
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gr.Markdown(f" # {title}")
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gr.Markdown(f" ## {description1}")
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gr.Markdown(f"{description2}")
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gr.Markdown(f"{description3}")
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with gr.Row():
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premise = gr.Textbox(label="Premise",placeholder = "Roger Federer is an amazing tennis player.")
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hypothesis = gr.Textbox(label="Hypothesis", placeholder = "The stance to Roger Federer is positive.")
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