arvind6599 commited on
Commit
25af880
·
1 Parent(s): 6de33d2

pre-final formatting

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -336,7 +336,7 @@ def build_interface():
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  gr.Markdown("""
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  # Applicant Task: Target Company & Law Firm Identification
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- This task involves processing a user query to determine the relevance to the intended task, followed by analyzing textual data to extract information about law firms representing parties (Buyer, Seller, and Third Parties) and verifying the presence of a target company. You can refer to the following legal document: [SEC Agreement Example](https://www.sec.gov/Archives/edgar/data/28452/000119312505012401/dex101.htm)
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  The system is designed to sequentially leverage three LLM functions:
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@@ -387,7 +387,7 @@ The goal is to identify the representative law firms of involved parties and det
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  gr.Markdown("""
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  **User Query:**
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  ```
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- Is Kirkland present in the agreement?
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  ```
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  **Document Provided:**
 
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  gr.Markdown("""
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  # Applicant Task: Target Company & Law Firm Identification
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+ This task involves processing a user query to determine the relevance to the intended task, followed by analyzing textual data to extract information about law firms representing parties (Buyer, Seller, and Third Parties) and verifying the presence of a target company. For reference, see this sample agreement: [SEC Agreement Example](https://www.sec.gov/Archives/edgar/data/28452/000119312505012401/dex101.htm)
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  The system is designed to sequentially leverage three LLM functions:
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  gr.Markdown("""
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  **User Query:**
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  ```
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+ Is Kirkland & Ellis present in the agreement?
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  ```
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  **Document Provided:**