Rajiv Shah commited on
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b023ffe
1 Parent(s): ef9bae2

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  1. app.py +25 -0
  2. requirements.txt +2 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
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+
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+ title = "Forward Looking Statement Classification with FinBERT"
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+ description = "This model classifies a sentence into one of the three categories: Specific FLS, Non- Specific FLS, and Not-FLS. We label a sentence as Specific FLS if it is about the future of the company, as Non-Specific FLS if it is future-oriented but could be said of any company (e.g., cautionary language or risk disclosure), and as Not-FLS if it is not about the future."
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+ examples =[['we expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs.'],
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+ ['on an equivalent unit of production basis, general and administrative expenses declined 24 percent from 1994 to $.67 per boe.'],
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+ ['we will continue to assess the need for a valuation allowance against deferred tax assets considering all available evidence obtained in future reporting periods.']]
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+
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+ tokenizer = AutoTokenizer.from_pretrained("yiyanghkust/finbert-fls")
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+ finbert = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-fls")
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+ nlp = pipeline("text-classification", model=finbert, tokenizer=tokenizer)
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+
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+ def get_sentiment(input_text):
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+ return nlp(input_text)
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+
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+ iface = gr.Interface(fn=get_sentiment,
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+ inputs="text",
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+ outputs=["text"],
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+ title=title,
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+ description=description,
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+ examples=examples)
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+ iface.launch(debug=True)
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+
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+
requirements.txt ADDED
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+ gradio
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+ transformers