Update app.py

app.py

@@ -17,8 +17,7 @@ import nltk
 import warnings
 import streamlit as st
 from PIL import Image
-from torch.nn import Embedding, Linear
-from torch.quantization import quantize_dynamic
+
 
 nltk.download('punkt')
 
@@ -91,8 +90,8 @@ def preprocess_plain_text(text,window_size=3):
     text = re.sub(r"https*\S+", " ", text)  # url
     text = re.sub(r"@\S+", " ", text)  # mentions
     text = re.sub(r"#\S+", " ", text)  # hastags
-    #text = re.sub(r"\s{2,}", " ", text)  # over spaces
-    text = re.sub("[^.,!?%$A-Za-z0-9]+", " ", text)  # special characters except .,!?
+    text = re.sub(r"\s{2,}", " ", text)  # over spaces
+    #text = re.sub("[^.,!?%$A-Za-z0-9]+", " ", text)  # special characters except .,!?
     
     #break into lines and remove leading and trailing space on each
     lines = [line.strip() for line in text.splitlines()]