Update app.py

app.py

@@ -90,7 +90,7 @@ def main():
     st.title('Sentiment Analysis')
     st.markdown('Upload an Excel file to get sentiment analytics')
 
-    uploaded_file = st.file_uploader("Upload an excel file", type=['xlsx'], key='unique')
+    uploaded_file = st.file_uploader("Upload an excel file", type=['xlsx'], key='unique1')
     review_column = None
     df = None
     class_names = None  # New variable for class names
@@ -111,9 +111,9 @@ def main():
                 review_column = st.selectbox('Select the column from your excel file containing text', chunk.columns)
                 chunk[review_column] = chunk[review_column].astype(str)
 
-                filter_words_input = st.text_input('Enter words to filter the data by, separated by comma (or leave empty)')  # New input field for filter words
+                filter_words_input = st.text_input('Enter words to filter the data by, separated by comma (or leave empty)', key='filter words')  # New input field for filter words
                 filter_words = [] if filter_words_input.strip() == "" else process_filter_words(filter_words_input)  # Process the filter words
-                class_names = st.text_input('Enter the possible class names separated by comma')  # New input field for class names
+                class_names = st.text_input('Enter the possible class names separated by comma', key='class names')  # New input field for class names
                 chunk = filter_dataframe(chunk, review_column, filter_words)  # Filter the DataFrame
 
                 chunks.append(chunk)
@@ -123,7 +123,7 @@ def main():
             st.write("An error occurred while reading the uploaded file. Please make sure it's a valid Excel file.")
             return
 
-    start_button = st.button('Start Analysis')
+    start_button = st.button('Start Analysis', key='unique2')
 
     
     if start_button and df is not None: