Update app.py

app.py

@@ -1,15 +1,12 @@
 import streamlit as st
 import tensorflow as tf
 from button_click_alt import find_order_id
-import cv2
-import pandas as pd
-import numpy as np
 
 def main():
     st.set_page_config(page_title='Order ID Finder', layout='wide')
     st.title('OCR + Font type demo')
 
-    tabs = st.tabs(["Intro", "find order", "Preview"])
+    tabs = st.tabs(["Intro", "find order"])
 
     with tabs[0]:
         col1, col2 = st.columns([1, 2])
@@ -56,19 +53,5 @@ def main():
             elif result['status'] == 'warning':
                 st.warning(result['message'])
 
-    with tabs[2]:
-        st.write('## Preview')
-        if uploaded_file and input_file:
-            st.write('### Text File Contents')
-            # read input file into a variable before closing it
-            input_data = pd.read_csv(input_file)
-            st.write(input_data)
-            st.write('### Image Preview')
-            # read image file into a variable before closing it
-            img_bytes = uploaded_file.read()
-            img = cv2.imdecode(np.frombuffer(img_bytes, np.uint8), 1)
-            st.image(img, channels='BGR', caption='Uploaded Image')
-
-   
 if __name__ == '__main__':
-    main()
+    main()