add: example graph application

examples/graph_example.py

@@ -0,0 +1,42 @@
+from langchain_openai import ChatOpenAI
+from langchain_community.document_loaders import AsyncHtmlLoader
+
+from yosoai.graph import BaseGraph
+from yosoai.graph import GetProbableTagsNode
+from yosoai.graph import ParseHTMLNode
+from yosoai.graph import GenerateAnswerNode
+from yosoai.graph import ConditionalNode
+
+OPENAI_API_KEY = ''
+
+urls = ["https://perinim.github.io/projects/"]
+
+# Load Documents
+loader = AsyncHtmlLoader(urls)
+docs = loader.load()
+
+llm = ChatOpenAI(api_key=OPENAI_API_KEY, model_name="gpt-3.5-turbo", temperature=0, streaming=True)
+
+get_probable_tags_node = GetProbableTagsNode(llm, "get_probable_tags")
+parse_document_node = ParseHTMLNode("parse_document")
+generate_answer_node = GenerateAnswerNode(llm, "generate_answer")
+conditional_node = ConditionalNode("tags", [parse_document_node, generate_answer_node])
+
+scrapeGraph = BaseGraph(
+    nodes={
+        get_probable_tags_node,
+        conditional_node,
+        parse_document_node,
+        generate_answer_node,
+    },
+    edges={
+        (get_probable_tags_node, conditional_node),
+        (parse_document_node, generate_answer_node)
+    },
+    entry_point=get_probable_tags_node
+)
+
+# To execute the graph
+inputs = {"keys": {"user_input": "List me all projects and titles", "document": docs, "url": urls[0]}}
+final_state = scrapeGraph.execute(inputs)
+print(final_state["keys"]["answer"])