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Update app.py
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app.py
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@@ -468,8 +468,9 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
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This application allows the user to compare two reports from text contents or from tables. It's divided into two tabs.
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**First Tab: Text Comparisons**
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- Select two PDFs. Each PDF's text content will be extracted into paragraphs.
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- Select a paragraph from one PDF, and find the most similar paragraph from the other PDF using a specific method.
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- For a selected paragraph, compute summarization using the **FinPEGASUS model**.
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- For a selected paragraph, compute sentiment analysis of the paragraph, and for each sentence, classify into three classes (Positive, Negative, Neutral) using two different fine-tuned **FinBERT models**:
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This application allows the user to compare two reports from text contents or from tables. It's divided into two tabs.
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**First Tab: Text Comparisons**
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- It handdles EBA and Federal Open Market Committee files report. Don't modify federal file name.
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- Select two PDFs. Each PDF's text content will be extracted into paragraphs.
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- You can choose a keyword to filter paragraphs.
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- Select a paragraph from one PDF, and find the most similar paragraph from the other PDF using a specific method.
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- For a selected paragraph, compute summarization using the **FinPEGASUS model**.
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- For a selected paragraph, compute sentiment analysis of the paragraph, and for each sentence, classify into three classes (Positive, Negative, Neutral) using two different fine-tuned **FinBERT models**:
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