Scrapegraph-ai/examples/together/csv_scraper_graph_multi_together.py
Federico Aguzzi 34942deca5 chore(examples): create Together AI examples
Co-Authored-By: Marco Vinciguerra <88108002+VinciGit00@users.noreply.github.com>
2024-08-28 22:39:05 +02:00

58 lines
1.6 KiB
Python

"""
Basic example of scraping pipeline using CSVScraperMultiGraph from CSV documents
"""
import os
from dotenv import load_dotenv
import pandas as pd
from scrapegraphai.graphs import CSVScraperMultiGraph
from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
load_dotenv()
# ************************************************
# Read the CSV file
# ************************************************
FILE_NAME = "inputs/username.csv"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)
text = pd.read_csv(file_path)
# ************************************************
# Define the configuration for the graph
# ************************************************
together_key = os.getenv("TOGETHER_APIKEY")
graph_config = {
"llm": {
"model": "togetherai/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
"api_key": together_key,
},
"verbose": True,
}
# ************************************************
# Create the CSVScraperMultiGraph instance and run it
# ************************************************
csv_scraper_graph = CSVScraperMultiGraph(
prompt="List me all the last names",
source=[str(text), str(text)],
config=graph_config
)
result = csv_scraper_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = csv_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))
# Save to json or csv
convert_to_csv(result, "result")
convert_to_json(result, "result")