mirror of
https://github.com/VinciGit00/Scrapegraph-ai.git
synced 2026-06-23 21:00:30 +08:00
49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
"""
|
|
Basic example of scraping pipeline using SpeechSummaryGraph
|
|
"""
|
|
|
|
import os
|
|
from dotenv import load_dotenv
|
|
from scrapegraphai.graphs import SpeechGraph
|
|
load_dotenv()
|
|
|
|
# ************************************************
|
|
# Define audio output path
|
|
# ************************************************
|
|
|
|
FILE_NAME = "website_summary.mp3"
|
|
curr_dir = os.path.dirname(os.path.realpath(__file__))
|
|
output_path = os.path.join(curr_dir, FILE_NAME)
|
|
|
|
# ************************************************
|
|
# Define the configuration for the graph
|
|
# ************************************************
|
|
|
|
openai_key = os.getenv("OPENAI_APIKEY")
|
|
|
|
graph_config = {
|
|
"llm": {
|
|
"api_key": openai_key,
|
|
"model": "gpt-3.5-turbo",
|
|
},
|
|
"tts_model": {
|
|
"api_key": openai_key,
|
|
"model": "tts-1",
|
|
"voice": "alloy"
|
|
},
|
|
"output_path": output_path,
|
|
}
|
|
|
|
# ************************************************
|
|
# Create the SpeechGraph instance and run it
|
|
# ************************************************
|
|
|
|
speech_graph = SpeechGraph(
|
|
prompt="Create a summary of the website",
|
|
source="https://perinim.github.io/projects/",
|
|
config=graph_config,
|
|
)
|
|
|
|
result = speech_graph.run()
|
|
print(result.get("answer", "No answer found"))
|