Update app.py

app.py

@@ -1,24 +1,4 @@
 # Import the necessary libraries
-import gradio as gr
-import os
-import uuid
-import json
-import pandas as pd
-import subprocess
-from openai import OpenAI
-from huggingface_hub import HfApi
-from huggingface_hub import CommitScheduler
-from langchain_community.embeddings.sentence_transformer import (
-    SentenceTransformerEmbeddings
-)
-from langchain_community.vectorstores import Chroma
-from google.colab import userdata, drive
-from pathlib import Path
-from langchain.document_loaders import PyPDFDirectoryLoader
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-import json
-import tiktoken
-import pandas as pd
 import subprocess
 import sys
 
@@ -39,12 +19,27 @@ try:
 except subprocess.CalledProcessError as e:
     print(f"An error occurred: {e}")
 
-# Import the installed packages
-try:
-    import tiktoken
-    # Continue with your code that uses these packages
-except ImportError as e:
-    print(f"An error occurred: {e}")
+import gradio as gr
+import os
+import uuid
+import json
+import pandas as pd
+import subprocess
+from openai import OpenAI
+from huggingface_hub import HfApi
+from huggingface_hub import CommitScheduler
+from langchain_community.embeddings.sentence_transformer import (
+    SentenceTransformerEmbeddings
+)
+from langchain_community.vectorstores import Chroma
+from google.colab import userdata, drive
+from pathlib import Path
+from langchain.document_loaders import PyPDFDirectoryLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+import json
+import tiktoken
+import pandas as pd
+import tiktoken
 
 # Define the embedding model and the vectorstore
 embedding_model = SentenceTransformerEmbeddings(model_name='thenlper/gte-large')