Update app.py

app.py

@@ -85,31 +85,37 @@ def convert_and_download(history, conversion_type):
     file_path = save_as_file(input_text, output_text, conversion_type)
     return file_path
 
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-P",
-        ),
-        gr.Dropdown(choices=["PDF", "DOCX", "TXT"], label="Conversion Type"),
-        gr.Button("Convert and Download"),
-    ],
-    css=css,
-    theme="allenai/gradio-theme",
-)
-
-def on_convert_and_download(history, conversion_type):
+def handle_conversion(history, conversion_type):
     file_path = convert_and_download(history, conversion_type)
-    return file_path
+    return gr.File(file_path)
 
-demo.launch(on_event={"Convert and Download": on_convert_and_download})
+demo = gr.Blocks(css=css)
+
+with demo:
+    with gr.Row():
+        system_message = gr.Textbox(value="", label="System message")
+        max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P")
+    
+    history = gr.State(value=[])
+    
+    chatbot = gr.ChatInterface(
+        fn=respond,
+        additional_inputs=[system_message, max_tokens, temperature, top_p],
+    )
+
+    with gr.Row():
+        conversion_type = gr.Dropdown(choices=["PDF", "DOCX", "TXT"], label="Conversion Type")
+        download_button = gr.Button("Convert and Download")
+    
+    file_output = gr.File()
+    
+    download_button.click(
+        handle_conversion,
+        inputs=[history, conversion_type],
+        outputs=file_output
+    )
 
 if __name__ == "__main__":
     demo.launch()