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Merge pull request #170 from VinciGit00/pre/beta
New release, many new features and bug-fix
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## Reporting a Vulnerability | ||
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For reporting a vulnerability contact directly [email protected] | ||
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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 scrapegraphai.graphs import SmartScraperGraph | ||
from scrapegraphai.utils import prettify_exec_info | ||
from langchain_community.llms import HuggingFaceEndpoint | ||
from langchain_community.embeddings import HuggingFaceInferenceAPIEmbeddings | ||
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# required environment variables in .env | ||
# HUGGINGFACEHUB_API_TOKEN | ||
# ANTHROPIC_API_KEY | ||
load_dotenv() | ||
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HUGGINGFACEHUB_API_TOKEN = os.getenv('HUGGINGFACEHUB_API_TOKEN') | ||
# ************************************************ | ||
# Initialize the model instances | ||
# ************************************************ | ||
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embedder_model_instance = HuggingFaceInferenceAPIEmbeddings( | ||
api_key=HUGGINGFACEHUB_API_TOKEN, model_name="sentence-transformers/all-MiniLM-l6-v2" | ||
) | ||
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# ************************************************ | ||
# Create the SmartScraperGraph instance and run it | ||
# ************************************************ | ||
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graph_config = { | ||
"llm": { | ||
"api_key": os.getenv("ANTHROPIC_API_KEY"), | ||
"model": "claude-3-haiku-20240307", | ||
"max_tokens": 4000}, | ||
"embeddings": {"model_instance": embedder_model_instance} | ||
} | ||
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smart_scraper_graph = SmartScraperGraph( | ||
prompt="""Don't say anything else. Output JSON only. 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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