Upload app_test.py

app_test.py

@@ -0,0 +1,91 @@
+import gradio as gr
+from random import randint
+from all_models import models
+
+
+
+def load_fn(models):
+    global models_load
+    models_load = {}
+    
+    for model in models:
+        if model not in models_load.keys():
+            try:
+                m = gr.load(f'models/{model}')
+            except Exception as error:
+                m = gr.Interface(lambda txt: None, ['text'], ['image'])
+            models_load.update({model: m})
+
+
+load_fn(models)
+
+
+num_models = 4
+default_models = models[:num_models]
+#current_models = default_models
+
+
+'''
+def make_update(choices):
+    global current_models
+    current_models = [c for c in choices]
+    current_models += (num_models - len(choices)) * ['NA']
+    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in current_models]
+'''
+
+def extend_choices(choices):
+    return choices + (num_models - len(choices)) * ['NA']
+
+
+def update_imgbox(choices):
+    choices_plus = extend_choices(choices)
+    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
+
+    
+def gen_fn(model_str, prompt):
+    if model_str == 'NA':
+        return None
+    noise = str(randint(0, 99999999999))
+    return models_load[model_str](f'{prompt} {noise}')
+
+
+def gen_fn2(choices, prompt):
+    choices_plus = extend_choices(choices)
+    return [gen_fn(m, prompt) for m in choices_plus]
+
+
+
+with gr.Blocks() as demo:
+    with gr.Tab('Multiple models'): 
+        with gr.Accordion('Model selection'):
+            model_choice = gr.Dropdown(models, label = f'Choose up to {num_models} different models', value = default_models, multiselect = True, max_choices = num_models, interactive = True)
+
+        txt_input = gr.Textbox(label = 'Prompt text')
+        gen_button = gr.Button('Generate')
+           
+        with gr.Row():
+            output = [gr.Image(label = m) for m in default_models]
+            model_choice.change(update_imgbox, model_choice, output)
+
+            gen_button.click(gen_fn2, [model_choice, txt_input], output)
+           
+            '''
+            output = gr.Gallery()
+            gen_button.click(lambda models, txt: [gen_fn(m, txt) for m in models], [model_choice, txt_input], output)
+            '''
+            
+    with gr.Tab('Single model'):
+        model_choice2 = gr.Dropdown(models, label = 'Choose model', value = models[0], filterable = False)
+        txt_input2 = gr.Textbox(label = 'Prompt text')
+        gen_button2 = gr.Button('Generate')
+
+        with gr.Row():
+            num_images = 6
+            output2 = [gr.Image(label = '') for _ in range(num_images)]
+
+        for o in output2:
+            gen_button2.click(gen_fn, [model_choice2, txt_input2], o)
+    
+
+demo.queue(concurrency_count = 36)                        
+demo.launch()