added openai access

app.py

@@ -5,13 +5,22 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import os
 
+from dotenv import load_dotenv
+import openai
+
+load_dotenv(".env")
+
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+os.environ["OPENAI_API_KEY"] = openai.api_key
+embeddings = OpenAIEmbeddings()
+
 with open("guide1.txt") as f:
     hitchhikersguide = f.read()
 
 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = "\n")
 texts = text_splitter.split_text(hitchhikersguide)
 
-embeddings = OpenAIEmbeddings()
+#embeddings = OpenAIEmbeddings()
 
 docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()