Update app.py

app.py

@@ -1,5 +1,6 @@
 import PyPDF2
 import gradio as gr
+import os
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.llms import LlamaCpp
 
@@ -74,16 +75,16 @@ callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
 
 # Function to create a conversational chain
 def create_conversational_chain(database):
-    model_name = TheBloke/Llama-2-7B-Chat-GGUF
-    model_directory = “models”
+    model_name = "TheBloke/Llama-2-7B-Chat-GGUF"
+    model_directory = "models"
     #Check if the model file exists in the specified directory
     model_file = os.path.join(model_directory, model_name)
     if os.path.exists(model_file):
         model_path = model_file
-        print(“Model file found in the directory. Using the local model file.”)
+        print("Model file found in the directory. Using the local model file.")
     else:
         model_path = model_name
-        print(“Model file not found in the directory. Downloading the model from the repository.”)
+        print("Model file not found in the directory. Downloading the model from the repository."")
     #Load the model
     model = AutoModelForCausalLM.from_pretrained(model_path)
     print(model_path)