Update app.py

app.py

@@ -2,19 +2,19 @@ import gradio as gr
 import pandas as pd
 import tempfile
 
-def process_file(file):
+def process_file(file_path):
 
     # read correct sheet
-    df = pd.read_excel(file.name, sheet_name="Price Recommendations-Fill This", header=None)
+    df = pd.read_excel(file_path, sheet_name="Price Recommendations-Fill This", header=None)
 
     # delete first 4 rows
     df = df.iloc[4:].reset_index(drop=True)
 
-    # ensure at least 10 columns
+    # ensure columns up to J exist
     while df.shape[1] < 10:
         df[df.shape[1]] = ""
 
-    # convert column I and J to numbers
+    # convert columns I and J to numeric
     df.iloc[:,8] = pd.to_numeric(df.iloc[:,8], errors="coerce").fillna(0)
     df.iloc[:,9] = pd.to_numeric(df.iloc[:,9], errors="coerce").fillna(0)
 
@@ -22,15 +22,15 @@ def process_file(file):
     df.iloc[:,7] = df.iloc[:,8] - df.iloc[:,9]
 
     # save CSV
-    tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".csv")
-    df.to_csv(tmp.name, index=False, header=False)
+    output_path = "/tmp/output.csv"
+    df.to_csv(output_path, index=False, header=False)
 
-    return tmp.name
+    return output_path
 
 
 demo = gr.Interface(
     fn=process_file,
-    inputs=gr.File(label="Upload Excel File"),
+    inputs=gr.File(type="filepath", label="Upload Excel File"),
     outputs=gr.File(label="Download CSV"),
     title="Excel → CSV Tool"
 )