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001-data-loaders.py
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100 lines (58 loc) · 1.96 KB
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import os
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv())
openai_api_key = os.environ["OPENAI_API_KEY"]
from langchain_openai import ChatOpenAI
chatModel = ChatOpenAI(model="gpt-3.5-turbo-0125")
from langchain_community.document_loaders import TextLoader
loader = TextLoader("./data/be-good.txt")
loaded_data = loader.load()
print("\n----------\n")
print("Loaded TXT file:")
print("\n----------\n")
#print(loaded_data)
print("\n----------\n")
from langchain_community.document_loaders import CSVLoader
loader = CSVLoader('./data/Street_Tree_List.csv')
loaded_data = loader.load()
print("\n----------\n")
print("Loaded CSV file:")
print("\n----------\n")
#print(loaded_data)
print("\n----------\n")
from langchain_community.document_loaders import UnstructuredHTMLLoader
loader = UnstructuredHTMLLoader('./data/100-startups.html')
loaded_data = loader.load()
print("\n----------\n")
print("Loaded HTML page:")
print("\n----------\n")
#print(loaded_data)
print("\n----------\n")
from langchain_community.document_loaders import PyPDFLoader
loader = PyPDFLoader('./data/5pages.pdf')
loaded_data = loader.load_and_split()
print("\n----------\n")
print("Loaded HTML page:")
print("\n----------\n")
#print(loaded_data[0].page_content)
print("\n----------\n")
from langchain_community.document_loaders import WikipediaLoader
name = "JFK"
loader = WikipediaLoader(query=name, load_max_docs=1)
loaded_data = loader.load()[0].page_content
from langchain_core.prompts import ChatPromptTemplate
chat_template = ChatPromptTemplate.from_messages(
[
("human", "Answer this {question}, here is some extra {context}"),
]
)
messages = chat_template.format_messages(
question="What was the full name of JFK?",
context=loaded_data
)
response = chatModel.invoke(messages)
print("\n----------\n")
print("Respond from Wikipedia: What was the full name of JFK?")
print("\n----------\n")
#print(response.content)
print("\n----------\n")