Update app.py

app.py

@@ -225,53 +225,13 @@ def create_instruct_demo():
     return instruct_demo
 
 
-def create_caption_demo():
-    with gr.Blocks() as instruct_demo:
-        with gr.Row():
-            with gr.Column():
-                img = gr.Image(label='Input', type='filepath')
-                max_len = gr.Slider(minimum=1, maximum=512,
-                                    value=64, label="Max length")
-                with gr.Accordion(label='Advanced options', open=False):
-                    temp = gr.Slider(minimum=0, maximum=1,
-                                     value=0.1, label="Temperature")
-                    top_p = gr.Slider(minimum=0, maximum=1,
-                                      value=0.75, label="Top p")
-
-                run_botton = gr.Button("Run")
-
-            with gr.Column():
-                outputs = gr.Textbox(lines=10, label="Output")
-
-        inputs = [img, max_len, temp, top_p]
-
-        examples = glob.glob("caption_demo/*.jpg")
-        examples = [
-            [x, 64, 0.1, 0.75]
-            for x in examples]
-
-        gr.Examples(
-            examples=examples,
-            inputs=inputs,
-            outputs=outputs,
-            fn=caption_generate,
-            cache_examples=os.getenv('SYSTEM') == 'spaces'
-        )
-        run_botton.click(fn=caption_generate, inputs=inputs, outputs=outputs)
-    return instruct_demo
-
-
 description = """
-# LLaMA-Adapter🚀
-The official demo for **LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention**.
-Please refer to our [arXiv paper](https://arxiv.org/abs/2303.16199) and [github](https://github.com/ZrrSkywalker/LLaMA-Adapter) for more details.
+# TAPA: xxx
 """
 
 with gr.Blocks(css='style.css') as demo:
     gr.Markdown(description)
     with gr.TabItem("Instruction-Following"):
         create_instruct_demo()
-    with gr.TabItem("Image Captioning"):
-        create_caption_demo()
 
 demo.queue(api_open=True, concurrency_count=1).launch()