Update app.py

app.py

@@ -13,9 +13,6 @@ import matplotlib.patches as patches
 import random
 import numpy as np
 
-import subprocess
-subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
-
 models = {
     'microsoft/Florence-2-large-ft': AutoModelForCausalLM.from_pretrained('microsoft/Florence-2-large-ft', trust_remote_code=True).to("cuda").eval(),
     'microsoft/Florence-2-large': AutoModelForCausalLM.from_pretrained('microsoft/Florence-2-large', trust_remote_code=True).to("cuda").eval(),
@@ -42,10 +39,12 @@ def fig_to_pil(fig):
     buf.seek(0)
     return Image.open(buf)
 
+model_id='microsoft/Florence-2-large'
+model = models[model_id]
+processor = processors[model_id]
+
 @spaces.GPU
 def run_example(task_prompt, image, text_input=None, model_id='microsoft/Florence-2-large'):
-    model = models[model_id]
-    processor = processors[model_id]
     if text_input is None:
         prompt = task_prompt
     else:
@@ -257,7 +256,7 @@ with gr.Blocks(css=css) as demo:
         with gr.Row():
             with gr.Column():
                 input_img = gr.Image(label="Input Picture")
-                model_selector = gr.Dropdown(choices=list(models.keys()), label="Model", value='microsoft/Florence-2-large')
+                $model_selector = gr.Dropdown(choices=list(models.keys()), label="Model", value='microsoft/Florence-2-large', visible=False)
                 task_type = gr.Radio(choices=['Single task', 'Cascased task'], label='Task type selector', value='Single task')
                 task_prompt = gr.Dropdown(choices=single_task_list, label="Task Prompt", value="Caption")
                 task_type.change(fn=update_task_dropdown, inputs=task_type, outputs=task_prompt)