Update app.py

app.py

@@ -1,6 +1,11 @@
 import numpy as np
 import gradio as gr
 
+models = [
+    {"name": "Stable Diffusion 2", "url": "stabilityai/stable-diffusion-2-1"},
+]    
+
+current_model = models[0]
 
 def flip_text(x):
     return x[::-1]
@@ -10,17 +15,29 @@ def flip_image(x):
     return np.fliplr(x)
 
 
+def set_model(current_model_index):
+    global current_model
+    current_model = models[current_model_index]
+    return gr.update(value=f"{current_model['name']}")
+
+
 with gr.Blocks() as pan:
     gr.Markdown("Flip text or image files using this demo.")
     
     run = gr.Button("Generate Images")
                     
     with gr.Tab("Flip Text"):
-        gr.Interface.load("stabilityai/stable-diffusion-2-1")
+        
     ##model = ("stabilityai/stable-diffusion-2-1")
-#  gr.Dropdown(choices=["First Choice", "Second Choice", "Third Choice"])
-        Your_input = gr.TextArea()
-        output = gr.Image(label="")
+         model_name1 = gr.Dropdown(
+                label="Choose Model",
+                choices=[m["name"] for m in models],
+                type="index",
+                value=current_model["name"],
+                interactive=True,
+         )
+         input_text = gr.Textbox(label="Prompt idea",)
+         output1 = gr.Image(label="")
         
     with gr.Tab("Flip Image"):
         with gr.Row():
@@ -39,5 +56,5 @@ with gr.Blocks() as pan:
 
    # text_button.click(flip_text, inputs=text_input, outputs=text_output)
    # image_button.click(flip_image, inputs=image_input, outputs=image_output)
-
-pan.launch()
+pan.queue(concurrency_count=200)
+pan.launch(inline=True, show_api=True, max_threads=400)