Update app.py

app.py

@@ -47,7 +47,7 @@ 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'):
+def run_example(task_prompt, image, text_input=None):
     if text_input is None:
         prompt = task_prompt
     else:
@@ -123,7 +123,7 @@ def draw_ocr_bboxes(image, prediction):
                   fill=color)
     return image
 
-def process_image(image, task_prompt, text_input=None, model_id='microsoft/Florence-2-large'):
+def process_image(image, task_prompt, text_input=None):
     image = Image.fromarray(image)  # Convert NumPy array to PIL Image
     if task_prompt == 'Caption':
         task_prompt = '<CAPTION>'
@@ -261,7 +261,7 @@ with gr.Blocks(css=css) as demo:
                 input_img = gr.Image(label="Input Picture")
                 #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_prompt = gr.Dropdown(choices=single_task_list, label="Task Prompt", value="Detailed Caption")
                 task_type.change(fn=update_task_dropdown, inputs=task_type, outputs=task_prompt)
                 text_input = gr.Textbox(label="Text Input (optional)")
                 submit_btn = gr.Button(value="Submit")
@@ -281,6 +281,6 @@ with gr.Blocks(css=css) as demo:
             label='Try examples'
         )
 
-        submit_btn.click(process_image, [input_img, task_prompt, text_input, model_selector], [output_text, output_img])
+        submit_btn.click(process_image, [input_img, task_prompt, text_input], [output_text, output_img])
 
 demo.launch(debug=True)