tutorial121

tutorial121/.env

@@ -0,0 +1,3 @@
+NEO4J_URI=bolt://1xxx
+NEO4J_USERNAME=neo4j
+NEO4J_PASSWORD=xxx

tutorial121/main.py

@@ -0,0 +1,29 @@
+from dotenv import load_dotenv
+from langchain_community.graphs import Neo4jGraph
+from langchain_experimental.graph_transformers import LLMGraphTransformer
+from langchain_community.document_loaders import PyPDFLoader
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
+from langchain.docstore.document import Document
+from langchain.chains.combine_documents import create_stuff_documents_chain
+documents=[]
+llm=ChatOpenAI(model="gpt-4o")
+load_dotenv()
+graph=Neo4jGraph()
+llm_transformers=LLMGraphTransformer(llm=llm)
+
+loader=PyPDFLoader(file_path=r"C:\Users\welcome\OneDrive\Documents\GitHub\LLMtutorial\tutorial121\cv1.pdf")
+docs=loader.load()
+source=docs[0].metadata["source"]
+prompt=ChatPromptTemplate.from_template(
+           """Summarize this content with 4-5 sentences focusing on personal infomation,education,organization,experience in organization,
+               project details,skills,programming language :{context}
+                                        """)
+chain=create_stuff_documents_chain(llm,prompt)
+response=chain.invoke({"context":docs})
+summary=Document(page_content=response,metadata={"source":source})
+documents.append(summary)
+graph_documents=llm_transformers.convert_to_graph_documents(documents)
+graph.add_graph_documents(graph_documents)
+
+

tutorial2/single_url.py

@@ -2,7 +2,7 @@
 from langchain_community.document_loaders import YoutubeLoader
 import io
 
-loader=YoutubeLoader.from_youtube_url("https://www.youtube.com/watch?v=HxTNuGnYZWM")
+loader=YoutubeLoader.from_youtube_url("https://youtu.be/ozr3uI99v-E")
 docs=loader.load()
 print(docs)
 with io.open("transcript.txt","w",encoding="utf-8")as f1: