"""
depth_search_graph_opeani example
"""
import os
from dotenv import load_dotenv
from scrapegraphai.graphs import DepthSearchGraph
from langchain_community.llms import HuggingFaceEndpoint
from langchain_community.embeddings import HuggingFaceInferenceAPIEmbeddings

load_dotenv()
HUGGINGFACEHUB_API_TOKEN = os.getenv('HUGGINGFACEHUB_API_TOKEN')

repo_id = "mistralai/Mistral-7B-Instruct-v0.2"

llm_model_instance = HuggingFaceEndpoint(
    repo_id=repo_id, max_length=128, temperature=0.5, token=HUGGINGFACEHUB_API_TOKEN
)

embedder_model_instance = HuggingFaceInferenceAPIEmbeddings(
    api_key=HUGGINGFACEHUB_API_TOKEN, model_name="sentence-transformers/all-MiniLM-l6-v2"
)

graph_config = {
    "llm": {"model_instance": llm_model_instance},
    "verbose": True,
    "headless": False,
    "depth": 2,
    "only_inside_links": False,
}

search_graph = DepthSearchGraph(
    prompt="List me all the projects with their description",
    source="https://perinim.github.io",
    config=graph_config
)

result = search_graph.run()
print(result)