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Update app.py
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app.py
CHANGED
@@ -75,7 +75,7 @@ prompt = ChatPromptTemplate.from_messages(
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#m=M.from_pretrained("peterpeter8585/syai4.3")
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#t=T.from_pretrained("peterpeter8585/syai4.3")
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#pipe=pipeline(model=m,tokenizer=t,task="text-generation")
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llm=HF(repo_id="peterpeter8585/syai4.5",task="textgeneration"
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from langchain.retrievers import WikipediaRetriever as Wiki
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import gradio as gr
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chatbot = gr.Chatbot(
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@@ -97,7 +97,7 @@ def chat(message,
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system_message,
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max_tokens,
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temperature,
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top_p, chat_session
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messages=[SM(content=system_message+"And, Your name is Chatchat")]
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for val in history:
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if val[0]:
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@@ -106,7 +106,8 @@ def chat(message,
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messages.append(AM(content=val[1]))
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messages.append(HM(content=message))
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agent=Ex(agent=Agent(llm,tools,prompt),tools=tools,verbose=True,handle_parsing_errors=True,memory=memory)
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return agent.invoke({"input":messages,"chat_history":memory.buffer_as_messages})
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ai1=gr.ChatInterface(
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#m=M.from_pretrained("peterpeter8585/syai4.3")
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#t=T.from_pretrained("peterpeter8585/syai4.3")
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#pipe=pipeline(model=m,tokenizer=t,task="text-generation")
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llm=HF(repo_id="peterpeter8585/syai4.5",task="textgeneration")
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from langchain.retrievers import WikipediaRetriever as Wiki
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import gradio as gr
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chatbot = gr.Chatbot(
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system_message,
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max_tokens,
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temperature,
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top_p, chat_session):
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messages=[SM(content=system_message+"And, Your name is Chatchat")]
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for val in history:
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if val[0]:
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messages.append(AM(content=val[1]))
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messages.append(HM(content=message))
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his=HIS(url=os.environ["URL"],session_id=chat_session)
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memory=MEM(memory_key="history",chat_memory=his)
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agent=Ex(agent=Agent(llm,tools,prompt),tools=tools,verbose=True,handle_parsing_errors=True,memory=memory)
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return agent.invoke({"input":messages,"chat_history":memory.buffer_as_messages})
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ai1=gr.ChatInterface(
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