Update app.py

app.py

@@ -10,7 +10,7 @@ import io
 import base64
 from stqdm import stqdm
 import nltk
-
+import tempfile
 from nltk.corpus import stopwords
 nltk.download('stopwords')
 import matplotlib.pyplot as plt
@@ -89,17 +89,21 @@ def main():
     st.title('Sentiment Analysis')
     st.markdown('Upload an Excel file to get sentiment analytics')
 
-    file = st.file_uploader("Upload an excel file", type=['xlsx'])
+    uploaded_file = st.file_uploader("Upload an excel file", type=['xlsx'])
     review_column = None
     df = None
     class_names = None  # New variable for class names
 
-    if file is not None:
+    if uploaded_file is not None:
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".xlsx") as tmp:
+            tmp.write(uploaded_file.getvalue())
+            tmp_file_name = tmp.name
+
         try:
             # Reading Excel file in chunks
             chunk_size = 1000  # you can adjust this value according to your memory
             chunks = []
-            for chunk in pd.read_excel(file, chunksize=chunk_size):
+            for chunk in pd.read_excel(tmp_file_name, chunksize=chunk_size):
                 chunk = chunk.dropna(how='all')
                 chunk = chunk.replace(r'^\s*$', np.nan, regex=True)
                 chunk = chunk.dropna(how='all')
@@ -265,7 +269,8 @@ def display_ratings(df, review_column):
 
 
         
-
+# At the end of your code, or after you have finished processing the file
+os.remove(tmp_file_name)
 
 if __name__ == "__main__":
     main()