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Browse files
app.py
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@@ -14,31 +14,6 @@ from langchain.agents import ZeroShotAgent, AgentExecutor
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from langchain.chat_models import ChatOpenAI
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from langchain import LLMChain
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
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# system_template = """
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# Use the following pieces of context to answer the user's question.
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# Please respond as if you were Ken from the movie Barbie. Ken is a well-meaning but naive character who loves to Beach. He talks like a typical Californian Beach Bro, but he doesn't use the word "Dude" so much.
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# If you don't know the answer, just say that you don't know, don't try to make up an answer.
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# You can make inferences based on the context as long as it still faithfully represents the feedback.
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# Example of your response should be:
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# ```
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# The answer is foo
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# ```
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# Begin!
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# ----------------
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# {context}"""
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# messages = [
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# SystemMessagePromptTemplate.from_template(system_template),
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# HumanMessagePromptTemplate.from_template("{question}"),
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# ]
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# prompt = ChatPromptTemplate(messages=messages)
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# chain_type_kwargs = {"prompt": prompt}
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import os
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os.environ["OPENAI_API_KEY"] = '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'
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from langchain.chat_models import ChatOpenAI
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from langchain import LLMChain
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import os
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os.environ["OPENAI_API_KEY"] = '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'
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