Upload app.py

app.py

@@ -114,23 +114,17 @@ additional_inputs = [
     gr.Number(precision=0, value=0, label="Seed", info="A starting point to initiate generation, use 0 for random")
 ]
 
-
-def greet(name):
-    return f"Hello, {name}!"
-
 # Create the Gradio interface
-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(file_count="single", file_types=[".pdf"], label="Upload PDF documents")
+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, 
@@ -138,9 +132,7 @@ with gr.Blocks(theme=gr.themes.Default()) as demo:
             examples=examples_questions,
             additional_inputs=additional_inputs,
             cache_examples=False,
-        )    
-         
-# Launch the Gradio app.
-# The `share=True` argument creates a public, shareable link (useful for demos).
-# In a local environment, it will also open a local URL.
+        )       
+
+# Launch the Gradio app
 demo.launch()