Update app.py

app.py

@@ -36,6 +36,8 @@ from langchain.prompts import PromptTemplate
 from langchain.schema.runnable import RunnablePassthrough
 from sentence_transformers import CrossEncoder
 from langchain_openai import ChatOpenAI
+import zipfile
+
 
 load_dotenv()
 
@@ -55,14 +57,18 @@ def detect_intent(text):
     result = classifier(text, candidate_labels=["question", "greeting", "small talk", "feedback", "thanks"])
     label = result["labels"][0]
     return label.lower()
-
-chroma_db_path = "./chroma_db"
+    
+if not os.path.exists("./chroma_db_copy"):
+    with zipfile.ZipFile("chroma_db_copy.zip", "r") as zip_ref:
+        zip_ref.extractall("./")
+        
+chroma_db_path = "./chroma_db_copy"
 chroma_client = chromadb.PersistentClient(path=chroma_db_path)
 
 data = chroma_client.get_collection(name="my_dataaaa")
 vectorstore = Chroma(
     collection_name="my_dataaaa",  
-    persist_directory="./chroma_db",
+    persist_directory="./chroma_db_copy",
     embedding_function=embeddings_model
 )