forked from AI_team/Philosophy-RAG-demo
Factor out some duplication
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ec4edf9c92
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@ -107,13 +107,22 @@ else:
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@cl.on_message
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async def on_message(message: cl.Message):
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config = {"configurable": {"thread_id": cl.user_session.get("id")}}
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chainlit_response = cl.Message(content="")
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async for response in graph.stream(message.content, config=config):
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await chainlit_response.stream_token(response)
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if isinstance(graph, RetGenLangGraph):
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await add_sources(chainlit_response, graph.get_last_pdf_sources(), graph.get_last_web_sources())
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if isinstance(graph, CondRetGenLangGraph):
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await process_cond_response(message)
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elif isinstance(graph, RetGenLangGraph):
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await process_response(message)
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await add_sources(chainlit_response, graph.last_retrieved_docs, graph.last_retrieved_sources)
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await chainlit_response.send()
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async def add_sources(chainlit_response: cl.Message, pdf_sources: dict, web_sources: set | list):
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async def add_sources(chainlit_response: cl.Message, pdf_sources: dict, web_sources: set | list) -> None:
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if len(pdf_sources) > 0:
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await chainlit_response.stream_token("\n\nThe following PDF source were consulted:\n")
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for source, page_numbers in pdf_sources.items():
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@ -123,40 +132,13 @@ async def add_sources(chainlit_response: cl.Message, pdf_sources: dict, web_sour
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chainlit_response.elements.append(cl.Pdf(name="pdf", display="inline", path=source, page=page_numbers[0]))
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await chainlit_response.update()
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await chainlit_response.stream_token(f"- '{source}' on page(s): {page_numbers}\n")
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if len(web_sources) > 0:
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await chainlit_response.stream_token("\n\nThe following web sources were consulted:\n")
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for source in web_sources:
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await chainlit_response.stream_token(f"- {source}\n")
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async def process_response(message):
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config = {"configurable": {"thread_id": cl.user_session.get("id")}}
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chainlit_response = cl.Message(content="")
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async for response in graph.stream(message.content, config=config):
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await chainlit_response.stream_token(response)
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pdf_sources = graph.get_last_pdf_sources()
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web_sources = graph.get_last_web_sources()
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await add_sources(chainlit_response, pdf_sources, web_sources)
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await chainlit_response.send()
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async def process_cond_response(message):
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config = {"configurable": {"thread_id": cl.user_session.get("id")}}
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chainlit_response = cl.Message(content="")
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for response in graph.stream(message.content, config=config):
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await chainlit_response.stream_token(response)
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await add_sources(chainlit_response, graph.last_retrieved_docs, graph.last_retrieved_sources)
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await chainlit_response.send()
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@cl.set_starters
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async def set_starters():
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chainlit_starters = os.environ.get("CHAINLIT_STARTERS", None)
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@ -49,8 +49,8 @@ class CondRetGenLangGraph:
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self.last_retrieved_docs = {}
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self.last_retrieved_sources = set()
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def stream(self, message: str, config: RunnableConfig | None = None) -> Iterator[str]:
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for llm_response, metadata in self.graph.stream(
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async def stream(self, message: str, config: RunnableConfig | None = None) -> AsyncGenerator[Any, Any]:
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async for llm_response, metadata in self.graph.astream(
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{"messages": [{"role": "user", "content": message}]}, stream_mode="messages", config=config
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):
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if llm_response.content and metadata["langgraph_node"] == "_generate":
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