Update app.py

app.py

@@ -10,7 +10,8 @@ from langchain_core.documents import Document
 from langchain_text_splitters import CharacterTextSplitter
 from pypdf import PdfReader
 import random
-
+cwd = os.getcwd()
+print(cwd)
 token=""
 #repo_id = "mistralai/Mistral-7B-Instruct-v0.3"
 repo_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
@@ -25,7 +26,7 @@ def embed_fn(inp):
     documents = text_splitter.split_text(inp)
     out_emb= hf.embed_documents(documents)
     string_representation = dumps(out_emb, pretty=True)
-    db.from_texts(documents,persist_directory="./chroma_langchain_db",embedding_function=HuggingFaceEmbeddings(model_name=emb))
+    db.from_texts(documents,persist_directory=f"{cwd}/chroma_langchain_db",embedding_function=HuggingFaceEmbeddings(model_name=emb))
     
 def proc_doc(doc_in):
     for doc in doc_in:
@@ -60,7 +61,7 @@ def run_llm(input_text,history):
     MAX_TOKENS=20000
     try:
         qur= hf.embed_query(input_text)
-        docs = db.similarity_search_by_vector(qur, k=3,persist_directory="./chroma_langchain_db",embedding_function=HuggingFaceEmbeddings(model_name=emb))
+        docs = db.similarity_search_by_vector(qur, k=3,persist_directory=f"{cwd}/chroma_langchain_db",embedding_function=HuggingFaceEmbeddings(model_name=emb))
         
         print(docs)
     except Exception as e: