Spaces:
Running
on
T4
Running
on
T4
Update app.py
Browse files
app.py
CHANGED
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@@ -65,6 +65,14 @@ def parse_output_llm_with_sources(output):
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content_parts = "".join(parts)
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return content_parts
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async def chat(query,history,sources,reports):
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"""taking a query and a message history, use a pipeline (reformulation, retriever, answering) to yield a tuple of:
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(messages in gradio format, messages in langchain format, source documents)"""
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@@ -279,7 +287,8 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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- **This is just a prototype and being tested and worked upon, so its not perfect and may sometimes give irrelevant answers**. If you are not satisfied with the answer, please ask a more specific question or report your feedback to help us improve the system.
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""")
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(textbox
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demo.queue()
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demo.launch()
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content_parts = "".join(parts)
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return content_parts
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def start_chat(query,history):
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history = history + [(query,None)]
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history = [tuple(x) for x in history]
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return (gr.update(interactive = False),gr.update(selected=1),history)
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def finish_chat():
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return (gr.update(interactive = True,value = ""))
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async def chat(query,history,sources,reports):
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"""taking a query and a message history, use a pipeline (reformulation, retriever, answering) to yield a tuple of:
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(messages in gradio format, messages in langchain format, source documents)"""
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- **This is just a prototype and being tested and worked upon, so its not perfect and may sometimes give irrelevant answers**. If you are not satisfied with the answer, please ask a more specific question or report your feedback to help us improve the system.
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""")
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(textbox
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.submit(start_chat, [textbox,chatbot], [textbox,tabs,chatbot],queue = False,api_name = "start_chat_textbox"))
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demo.queue()
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demo.launch()
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