Update app.py

app.py

@@ -9,18 +9,18 @@ from langchain_openai import ChatOpenAI
 from langchain.chains.combine_documents import create_stuff_documents_chain
 from langchain.embeddings import HuggingFaceEmbeddings
 
- embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
- persist_directory = 'vec_db'
+persist_directory = 'vec_db'
 
- vectordb = Chroma(persist_directory=persist_directory,
+vectordb = Chroma(persist_directory=persist_directory,
                            embedding_function=embedding_model)
 
- vectordb_retriever = vectordb.as_retriever(search_kwargs={'k':5})
+vectordb_retriever = vectordb.as_retriever(search_kwargs={'k':5})
 
- llm = ChatOpenAI(model="gpt-4.1-nano", temperature=0.7)
+llm = ChatOpenAI(model="gpt-4.1-nano", temperature=0.7)
 
- with open("instructions.txt", 'r') as file:
+with open("instructions.txt", 'r') as file:
     instructions = file.read()
 
 
@@ -37,15 +37,15 @@ memory = ConversationBufferMemory(
     return_messages=True
 )
 
- question_answer_chain = create_stuff_documents_chain(llm, custom_prompt)
+question_answer_chain = create_stuff_documents_chain(llm, custom_prompt)
 
- chain = create_retrieval_chain(vectordb_retriever, question_answer_chain)
+chain = create_retrieval_chain(vectordb_retriever, question_answer_chain)
 
- def conversate_assistant(query, history):
+def conversate_assistant(query, history):
     greetings = {"hey", "hi", "hello"}
     normalized_query = query.strip().lower()
 
-     if len(memory.load_memory_variables({})["chat_history"]) >=6:
+    if len(memory.load_memory_variables({})["chat_history"]) >=6:
         chat_history = memory.load_memory_variables({})["chat_history"][-6::]
     else:
         chat_history = memory.load_memory_variables({})["chat_history"]
@@ -70,9 +70,9 @@ memory = ConversationBufferMemory(
 
      return answer
 
- demo = gr.ChatInterface(
+demo = gr.ChatInterface(
     conversate_assistant,
     type="messages"
 )
 
- demo.launch()
+demo.launch()