Update app.py

app.py

@@ -1,10 +1,11 @@
-# Install necessary libraries
-#!pip install pandas sentence-transformers transformers datasets faiss-cpu gradio
+# app.py
+
+# Install necessary libraries (Use only if these aren't already installed)
+# !pip install pandas sentence-transformers transformers datasets faiss-cpu gradio
 
 # Import libraries
 import pandas as pd
-from sentence_transformers import SentenceTransformer, util
-import torch
+from sentence_transformers import SentenceTransformer
 import faiss
 from datasets import load_dataset
 import gradio as gr
@@ -12,9 +13,8 @@ import gradio as gr
 # Load the Dataset from Hugging Face and FAQ CSV
 support_data = load_dataset("rjac/e-commerce-customer-support-qa")
 
-# Upload and load the FAQ data
-from google.colab import files
-uploaded = files.upload()
+# Load FAQ data from a local CSV file directly
+# Ensure this file is in the same directory or provide the full file path
 faq_data = pd.read_csv("Ecommerce_FAQs.csv")
 
 # Preprocess and Clean Data