🐄 Scrape plain text

""" 
Basic example of scraping pipeline using SmartScraper from text
"""

import os
from dotenv import load_dotenv
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import prettify_exec_info
load_dotenv()

# ************************************************
# Read the text file
# ************************************************

FILE_NAME = "inputs/plain_html_example.txt"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)

# It could be also a http request using the request model
with open(file_path, 'r', encoding="utf-8") as file:
    text = file.read()

# ************************************************
# Define the configuration for the graph
# ************************************************

deepseek_key = os.getenv("DEEPSEEK_APIKEY")

graph_config = {
    "llm": {
        "model": "deepseek-chat",
        "openai_api_key": deepseek_key,
        "openai_api_base": 'https://api.deepseek.com/v1',
    },
     "embeddings": {
        "model": "ollama/nomic-embed-text",
        "temperature": 0,
        # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
    },
    "verbose": True,
}
# ************************************************
# Create the SmartScraperGraph instance and run it
# ************************************************

smart_scraper_graph = SmartScraperGraph(
    prompt="List me all the news with their description.",
    source=text,
    config=graph_config
)

result = smart_scraper_graph.run()
print(result)

# ************************************************
# Get graph execution info
# ************************************************

graph_exec_info = smart_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))