Update app.py

app.py

@@ -1,37 +1,38 @@
 import gradio as gr
 import pandas as pd
 
-def process_file(file):
-    # file is a dict → get actual path
-    filepath = file["name"]
+def process_file(filepath):
 
+    # read excel file
     df = pd.read_excel(filepath, header=None)
 
     # delete first 4 rows
     df = df.iloc[4:].reset_index(drop=True)
 
-    # ensure columns up to J exist
+    # make sure columns up to J exist
     while df.shape[1] < 10:
         df[df.shape[1]] = ""
 
-    # convert I and J to numbers
+    # convert column I and J to numbers
     df.iloc[:,8] = pd.to_numeric(df.iloc[:,8], errors="coerce")
     df.iloc[:,9] = pd.to_numeric(df.iloc[:,9], errors="coerce")
 
-    # H = I - J
+    # column H = I - J
     df.iloc[:,7] = df.iloc[:,8] - df.iloc[:,9]
 
-    output = "output.csv"
-    df.to_csv(output, index=False, header=False)
+    # save csv
+    output_file = "output.csv"
+    df.to_csv(output_file, index=False, header=False)
 
-    return output
+    return output_file
 
 
 demo = gr.Interface(
     fn=process_file,
-    inputs=gr.File(),
-    outputs=gr.File(),
-    title="Excel to CSV Tool"
+    inputs=gr.File(type="filepath", label="Upload Excel File"),
+    outputs=gr.File(label="Download CSV"),
+    title="Excel to CSV Tool",
+    description="Upload Excel → Delete first 4 rows → Column H = I - J → Download CSV"
 )
 
 demo.launch()