course schedule

app.py

@@ -23,7 +23,7 @@ def read_excel_and_process(fi):
             new_data[t][d] = []
 
     for sheet_name in excel_file.sheet_names:
-        print(f"Processing sheet: {sheet_name}")
+        # print(f"Processing sheet: {sheet_name}")
 
         df = excel_file.parse(sheet_name)
 
@@ -54,7 +54,7 @@ def read_excel_and_process(fi):
         data_2.append(v)
 
     df = pd.DataFrame.from_dict(data_2)
-    df.to_excel(path_or_buf="visualization.xlsx", index=False)
+    df.to_excel("visualization.xlsx", index=False)
     return "visualization.xlsx"
 
 
@@ -72,19 +72,20 @@ def read_excel_and_process(fi):
 
 with gr.Blocks() as demo:
     
-    with gr.Tab("Course Schedule Visualization"):
-        gr.Markdown("### Visualize your course schedule.")
+    # with gr.Tab("Course Schedule Visualization"):
 
-        ex_fi = gr.File(file_count='single')
+    gr.Markdown("## Visualize your course schedule.")
 
-        result_fi = gr.File(file_count='single')
-        
-        # upload to process
-        ex_fi.upload(read_excel_and_process, inputs=ex_fi, outputs=result_fi)
+    ex_fi = gr.File(file_count='single')
+
+    result_fi = gr.File(file_count='single')
+    
+    # upload to process
+    ex_fi.upload(read_excel_and_process, inputs=ex_fi, outputs=result_fi)
 
-        # click to process
-        # btn_submit = gr.Button("Submit")
-        # btn_submit.click(text_to_neo4j, inputs=[remarks, columns], outputs=[result_fi,result_ta])/
+    # click to process
+    # btn_submit = gr.Button("Submit")
+    # btn_submit.click(text_to_neo4j, inputs=[remarks, columns], outputs=[result_fi,result_ta])/
         
     
 demo.launch()