Update app.py

app.py

@@ -58,17 +58,20 @@ def unzip_and_find_jpgs(file_path):
 
 def process_images(uploaded_file):
     global results_df
+    # Check if a file is actually uploaded
     if uploaded_file is None:
-        results_df = results_df.iloc[0:0]  # Clear the DataFrame
+        results_df = pd.DataFrame(columns=["Filename", "Extracted Text", "Translated Text"])  # Clear DataFrame
         return "", ""  # Return empty outputs if no file is uploaded
     else:
-        results_df = pd.DataFrame(columns=["Filename", "Extracted Text", "Translated Text"])  # Reinitialize the DataFrame
+        # Reinitialize the DataFrame every time a new file is uploaded
+        results_df = pd.DataFrame(columns=["Filename", "Extracted Text", "Translated Text"])
 
     file_path = uploaded_file.name  # Gradio provides the file path through the .name attribute
     try:
         image_files = unzip_and_find_jpgs(file_path)
         if not image_files:
-            return "No JPG files found in the zip."
+            return "No JPG files found in the zip.", ""
+
         for file_path in image_files:
             extracted_text, translated_text = batch_process_documents(file_path, "image/jpeg")
             new_row = pd.DataFrame([{
@@ -78,12 +81,16 @@ def process_images(uploaded_file):
             }])
             results_df = pd.concat([results_df, new_row], ignore_index=True)
     except Exception as e:
-        return f"An error occurred: {str(e)}"
+        return f"An error occurred: {str(e)}", ""
+
     html_output = results_df.to_html()
-    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".csv")
+    temp_file = tempfile.NamedTemporaryFile(delete=True, suffix=".csv")
     results_df.to_csv(temp_file.name, index=False)
-    temp_file.close()
-    return html_output, temp_file.name
+    temp_file_path = temp_file.name
+    temp_file.close()  # Ensure the file is closed after writing
+
+    return html_output, temp_file_path
+
 
 with gr.Blocks() as interface:
     with gr.Row():