refactored code for readability

app.py

@@ -4,32 +4,38 @@ from langchain.document_loaders import OnlinePDFLoader
 
 from langchain.text_splitter import CharacterTextSplitter
 from langchain.prompts import PromptTemplate
+from langchain.llms import HuggingFaceHub
 
 # from langhchain.llms import openai
 from langchain.llms import OpenAI
 
+from langchain.vectorstores import Chroma
+
+from langchain.chains import RetrievalQA
+
+from langchain.document_loaders import PyPDFLoader
+
+
+from langchain.embeddings import HuggingFaceHubEmbeddings, OpenAIEmbeddings
+
+
 text_splitter = CharacterTextSplitter(chunk_size=350, chunk_overlap=0)
 
-from langchain.llms import HuggingFaceHub
 # flan_ul2 = HuggingFaceHub(repo_id="HuggingFaceH4/zephyr-7b-beta", model_kwargs={"temperature":0.1, "max_new_tokens":300})
 flan_ul2 = OpenAI()
 
 global qa
 
-from langchain.embeddings import HuggingFaceHubEmbeddings, OpenAIEmbeddings
 # embeddings = HuggingFaceHubEmbeddings()
-embeddings = OpenAIEmbeddings()
 
-from langchain.vectorstores import Chroma
 
-from langchain.chains import RetrievalQA
 
-from langchain.document_loaders import PyPDFLoader
 
 def loading_pdf():
     return "Loading..."
 def pdf_changes(pdf_doc):
     # loader = OnlinePDFLoader(pdf_doc.name)
+    embeddings = OpenAIEmbeddings()
     loader = PyPDFLoader(pdf_doc.name)
     documents = loader.load()
     texts = text_splitter.split_documents(documents)
@@ -42,7 +48,7 @@ def pdf_changes(pdf_doc):
     
     {context}
     
-    Question: {sample.question}
+    Question: {query}
     Answer:"""
     PROMPT = PromptTemplate(
         template=prompt_template, input_variables=["context", "question"]