Update app.py

app.py

@@ -119,34 +119,10 @@ def greet(name):
     return f"Hello, {name}!"
 
 # Create the Gradio interface
-# with gr.Blocks(theme="Nymbo/Alyx_Theme") as demo:
-#     with gr.Tab("Indexing"):
-#         pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
-#         index_button = gr.Button("Index PDF")
-#         load_sample = gr.Button("Alternatively, Load and Index [Attention Is All You Need.pdf] as a Sample")
-#         sample_description = gr.Markdown("This sample PDF is a seminal paper in the field of machine learning, titled 'Attention Is All You Need' at https://arxiv.org/abs/1706.03762. It introduces the Transformer model, which has become foundational in natural language processing.")
-#         index_output = gr.Textbox(label="Indexing Status")
-#         index_button.click(index_pdf, inputs=pdf_input, outputs=index_output)
-#         load_sample.click(load_sample_pdf, inputs=None, outputs=index_output)
-    
-#     with gr.Tab("Chatbot"):
-#         gr.ChatInterface(
-#             fn=generate_response, 
-#             chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
-#             examples=examples_questions,
-#             additional_inputs=additional_inputs,
-#             cache_examples=False,
-#         )       
-
-
-
-
-
-
 with gr.Blocks(theme=gr.themes.Default()) as demo:
     with gr.Tab("Indexig"):
-    #     pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
-        pdf_input = gr.Textbox(label="PDF input")
+        pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
+        # pdf_input = gr.Textbox(label="PDF input")
         index_button = gr.Button("Index PDF")
         load_sample = gr.Button("Alternatively, Load and Index [Attention Is All You Need.pdf] as a Sample")
         sample_description = gr.Markdown("This sample PDF is a seminal paper in the field of machine learning, titled 'Attention Is All You Need' at https://arxiv.org/abs/1706.03762. It introduces the Transformer model, which has become foundational in natural language processing.")