|
| 1 | +""" |
| 2 | +Example of custom graph using existing nodes |
| 3 | +""" |
| 4 | + |
| 5 | +import os |
| 6 | +from dotenv import load_dotenv |
| 7 | +from langchain_openai import OpenAIEmbeddings |
| 8 | +from scrapegraphai.models import OpenAI |
| 9 | +from scrapegraphai.graphs import BaseGraph, SmartScraperGraph |
| 10 | +from scrapegraphai.nodes import SearchInternetNode, GraphIteratorNode, MergeAnswersNode |
| 11 | +load_dotenv() |
| 12 | + |
| 13 | +# ************************************************ |
| 14 | +# Define the configuration for the graph |
| 15 | +# ************************************************ |
| 16 | + |
| 17 | +openai_key = os.getenv("OPENAI_APIKEY") |
| 18 | + |
| 19 | +graph_config = { |
| 20 | + "llm": { |
| 21 | + "api_key": openai_key, |
| 22 | + "model": "gpt-3.5-turbo", |
| 23 | + }, |
| 24 | +} |
| 25 | + |
| 26 | +# ************************************************ |
| 27 | +# Create a SmartScraperGraph instance |
| 28 | +# ************************************************ |
| 29 | + |
| 30 | +smart_scraper_graph = SmartScraperGraph( |
| 31 | + prompt="", |
| 32 | + source="", |
| 33 | + config=graph_config |
| 34 | +) |
| 35 | + |
| 36 | +# ************************************************ |
| 37 | +# Define the graph nodes |
| 38 | +# ************************************************ |
| 39 | + |
| 40 | +llm_model = OpenAI(graph_config["llm"]) |
| 41 | +embedder = OpenAIEmbeddings(api_key=llm_model.openai_api_key) |
| 42 | + |
| 43 | +search_internet_node = SearchInternetNode( |
| 44 | + input="user_prompt", |
| 45 | + output=["urls"], |
| 46 | + node_config={ |
| 47 | + "llm_model": llm_model, |
| 48 | + "max_results": 5, # num of search results to fetch |
| 49 | + "verbose": True, |
| 50 | + } |
| 51 | +) |
| 52 | + |
| 53 | +graph_iterator_node = GraphIteratorNode( |
| 54 | + input="user_prompt & urls", |
| 55 | + output=["results"], |
| 56 | + node_config={ |
| 57 | + "graph_instance": smart_scraper_graph, |
| 58 | + "verbose": True, |
| 59 | + } |
| 60 | +) |
| 61 | + |
| 62 | +merge_answers_node = MergeAnswersNode( |
| 63 | + input="user_prompt & results", |
| 64 | + output=["answer"], |
| 65 | + node_config={ |
| 66 | + "llm_model": llm_model, |
| 67 | + "verbose": True, |
| 68 | + } |
| 69 | +) |
| 70 | + |
| 71 | +# ************************************************ |
| 72 | +# Create the graph by defining the connections |
| 73 | +# ************************************************ |
| 74 | + |
| 75 | +graph = BaseGraph( |
| 76 | + nodes=[ |
| 77 | + search_internet_node, |
| 78 | + graph_iterator_node, |
| 79 | + merge_answers_node |
| 80 | + ], |
| 81 | + edges=[ |
| 82 | + (search_internet_node, graph_iterator_node), |
| 83 | + (graph_iterator_node, merge_answers_node) |
| 84 | + ], |
| 85 | + entry_point=search_internet_node |
| 86 | +) |
| 87 | + |
| 88 | +# ************************************************ |
| 89 | +# Execute the graph |
| 90 | +# ************************************************ |
| 91 | + |
| 92 | +result, execution_info = graph.execute({ |
| 93 | + "user_prompt": "List me all the typical Chioggia dishes." |
| 94 | +}) |
| 95 | + |
| 96 | +# get the answer from the result |
| 97 | +result = result.get("answer", "No answer found.") |
| 98 | +print(result) |
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