Testing output file error in Spaces.

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import openai
 from auto_backgrounds import generate_backgrounds
 
-# todo:
+# todo: bugs. where is my zip file?
 #       3. create a huggingface space. test it using multiple devices!
 #       4. further polish auto_backgrounds.py. Make backgrounds have multiple subsection.
 #       5. Design a good layout of huggingface space.
@@ -18,14 +18,14 @@ with gr.Blocks() as demo:
     ''')
     with gr.Row():
         with gr.Column():
-            title = gr.Textbox(value="Playing Atari Game with Deep Reinforcement Learning", lines=1, max_lines=1, label="Title")
+            title = gr.Textbox(value="Deep Reinforcement Learning", lines=1, max_lines=1, label="Title")
             description = gr.Textbox(lines=5, label="Description (Optional)")
 
             with gr.Row():
                 clear_button = gr.Button("Clear")
                 submit_button = gr.Button("Submit")
         with gr.Column():
-            file_output = gr.outputs.File()
+            file_output = gr.File()
 
     clear_button.click(fn=clear_inputs, inputs=[title, description], outputs=[title, description])
     submit_button.click(fn=generate_backgrounds, inputs=[title, description], outputs=file_output)

auto_backgrounds.py

@@ -118,7 +118,7 @@ def generate_backgrounds(title, description="", template="ICLR2022", model="gpt-
             print(f"Failed to generate {section} due to the error: {e}")
     print(f"The paper {title} has been generated. Saved to {save_to_path}.")
     # shutil.make_archive("output.zip", 'zip', save_to_path)
-    return make_archive(save_to_path, save_to_path+"output.zip")
+    return make_archive(save_to_path, "output.zip")
 
 if __name__ == "__main__":
     title = "Reinforcement Learning"

auto_draft.py

@@ -132,7 +132,7 @@ def generate_draft(title, description="", template="ICLR2022", model="gpt-4"):
         except Exception as e:
             print(f"Failed to generate {section} due to the error: {e}")
     print(f"The paper {title} has been generated. Saved to {save_to_path}.")
-    return make_archive(save_to_path, save_to_path+"output.zip")
+    return make_archive(save_to_path, "output.zip")
 
 if __name__ == "__main__":
     # title = "Training Adversarial Generative Neural Network with Adaptive Dropout Rate"