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feat: Allow end users to pass model instances for llm and embedding m…
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""" | ||
Basic example of scraping pipeline using SmartScraper using Azure OpenAI Key | ||
""" | ||
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import os | ||
from dotenv import load_dotenv | ||
from langchain_openai import AzureChatOpenAI | ||
from langchain_openai import AzureOpenAIEmbeddings | ||
from scrapegraphai.graphs import SmartScraperGraph | ||
from scrapegraphai.utils import prettify_exec_info | ||
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## required environment variable in .env | ||
# AZURE_OPENAI_ENDPOINT | ||
# AZURE_OPENAI_CHAT_DEPLOYMENT_NAME | ||
# MODEL_NAME | ||
# AZURE_OPENAI_API_KEY | ||
# OPENAI_API_TYPE | ||
# AZURE_OPENAI_API_VERSION | ||
# AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME | ||
load_dotenv() | ||
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# ************************************************ | ||
# Initialize the model instances | ||
# ************************************************ | ||
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llm_model_instance = AzureChatOpenAI( | ||
openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"], | ||
azure_deployment=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"] | ||
) | ||
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embedder_model_instance = AzureOpenAIEmbeddings( | ||
azure_deployment=os.environ["AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME"], | ||
openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"], | ||
) | ||
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# ************************************************ | ||
# Create the SmartScraperGraph instance and run it | ||
# ************************************************ | ||
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graph_config = { | ||
"llm": {"model_instance": llm_model_instance}, | ||
"embeddings": {"model_instance": embedder_model_instance} | ||
} | ||
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smart_scraper_graph = SmartScraperGraph( | ||
prompt="List me all the events, with the following fields: company_name, event_name, event_start_date, event_start_time, event_end_date, event_end_time, location, event_mode, event_category, third_party_redirect, no_of_days, | ||
time_in_hours, hosted_or_attending, refreshments_type, registration_available, registration_link", | ||
# also accepts a string with the already downloaded HTML code | ||
source="https://www.hmhco.com/event", | ||
config=graph_config | ||
) | ||
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result = smart_scraper_graph.run() | ||
print(result) | ||
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# ************************************************ | ||
# Get graph execution info | ||
# ************************************************ | ||
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graph_exec_info = smart_scraper_graph.get_execution_info() | ||
print(prettify_exec_info(graph_exec_info)) |
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