Update app.py

app.py

@@ -10,6 +10,8 @@ from langchain.document_loaders import UnstructuredURLLoader
 from langchain_groq import ChatGroq
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.vectorstores import FAISS
+from langchain.vectorstores import Chroma
+
 
 from dotenv import load_dotenv
 load_dotenv()  # take environment variables from .env (especially openai api key)
@@ -42,7 +44,8 @@ if process_url_clicked:
     docs = text_splitter.split_documents(data)
     # create embeddings and save it to FAISS index
     embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
-    vectorstore_huggingface = FAISS.from_documents(docs, embedding_model)
+    #vectorstore_huggingface = FAISS.from_documents(docs, embedding_model)
+    vectorstore_huggingface = Chroma.from_documents(docs, embedding_model)
     main_placeholder.text("Embedding Vector Started Building...✅✅✅")
     time.sleep(2)