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Update app.py
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app.py
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@@ -694,6 +694,11 @@ Feel free to ask any question related to your document.
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"""
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demo_description4 = """
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**Context**:
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This assistant performs multi-agent tasks using tools such as:
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- Document summarisation
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- FAQ-style document Q&A
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@@ -703,11 +708,6 @@ This assistant performs multi-agent tasks using tools such as:
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The system will automatically select the appropriate function based on the uploaded file (CSV, PDF, TXT, DOCX) and the query content.
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For example, if the query contains "summarize"/"摘要", it will summarize the document; if it's CSV data, it will perform data analysis.
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"""
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demo_description5 = """
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**Context**:
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This demo uses Document Summarization via a Map-Reduce chain.
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Upload a PDF, TXT, or DOCX file to get an automatic summary of its contents.
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"""
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demo = gr.TabbedInterface(
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interface_list=[
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@@ -741,7 +741,7 @@ demo = gr.TabbedInterface(
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outputs="text",
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title="Document Summarization",
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allow_flagging="never",
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description=
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),
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gr.Interface(
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fn=multi_agent_chat_advanced,
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outputs="text",
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title="Multi-Agent AI Assistant",
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allow_flagging="never",
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description=
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)
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],
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tab_names=[
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"""
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demo_description4 = """
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**Context**:
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This demo uses a refinement-based document summarization chain.
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Upload a PDF, TXT, or DOCX file to get a concise, structured summary of its contents.
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"""
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demo_description5 = """
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**Context**:
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This assistant performs multi-agent tasks using tools such as:
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- Document summarisation
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- FAQ-style document Q&A
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The system will automatically select the appropriate function based on the uploaded file (CSV, PDF, TXT, DOCX) and the query content.
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For example, if the query contains "summarize"/"摘要", it will summarize the document; if it's CSV data, it will perform data analysis.
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"""
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demo = gr.TabbedInterface(
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interface_list=[
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outputs="text",
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title="Document Summarization",
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allow_flagging="never",
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description=demo_description4
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),
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gr.Interface(
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fn=multi_agent_chat_advanced,
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outputs="text",
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title="Multi-Agent AI Assistant",
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allow_flagging="never",
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description=demo_description5
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)
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],
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tab_names=[
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