Upload 4 files

README.md

@@ -1,12 +1,12 @@
----
-title: Test3
-emoji: 🚀
-colorFrom: pink
-colorTo: purple
-sdk: gradio
-sdk_version: 5.23.1
-app_file: app.py
-pinned: true
----
-
+---
+title: TestSpace
+emoji: 🚀
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.47.0
+app_file: app.py
+pinned: true
+---
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,90 +1,85 @@
-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 = 32
-default_models = models[:num_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, width, height):
-    if model_str == 'NA':
-        return None
-    noise = str(randint(0, 99999999999))
-    # Annahme: Die Modelle akzeptieren width und height Parameter
-    return models_load[model_str](f'{prompt} {noise}')
-
-with gr.Blocks() as demo:
-    with gr.Tab('Multiple models'): 
-        with gr.Accordion('Model selection'):
-            model_choice = gr.CheckboxGroup(models, label=f'Choose up to {num_models} different models', 
-                                          value=default_models, multiselect=True, max_choices=num_models, 
-                                          interactive=True, filterable=False)
-
-        txt_input = gr.Textbox(label='Prompt text')
-        with gr.Row():
-            width_slider = gr.Slider(256, 1024, value=512, step=64, label='Image Width')
-            height_slider = gr.Slider(256, 1024, value=512, step=64, label='Image Height')
-        gen_button = gr.Button('Generate')
-        stop_button = gr.Button('Stop', variant='secondary', interactive=False)
-        gen_button.click(lambda s: gr.update(interactive=True), None, stop_button)
-           
-        with gr.Row():
-            output = [gr.Image(label=m) for m in default_models]
-            current_models = [gr.Textbox(m, visible=False) for m in default_models]
-            
-            model_choice.change(update_imgbox, model_choice, output)
-            model_choice.change(extend_choices, model_choice, current_models)
-
-        for m, o in zip(current_models, output):
-            gen_event = gen_button.click(gen_fn, [m, txt_input, width_slider, height_slider], o, queue=False)
-                    
-    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')
-        
-        with gr.Row():
-            width_slider2 = gr.Slider(256, 1024, value=512, step=64, label='Image Width')
-            height_slider2 = gr.Slider(256, 1024, value=512, step=64, label='Image Height')
-        
-        max_images = 16
-        num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')
-        
-        gen_button2 = gr.Button('Generate')
-        stop_button2 = gr.Button('Stop', variant='secondary', interactive=False)
-        gen_button2.click(lambda s: gr.update(interactive=True), None, stop_button2)
-        
-        with gr.Row():
-            output2 = [gr.Image(label='') for _ in range(max_images)]
-
-        for i, o in enumerate(output2):
-            img_i = gr.Number(i, visible=False)
-            num_images.change(lambda i, n: gr.update(visible=(i < n)), [img_i, num_images], o)
-            gen_event2 = gen_button2.click(
-                lambda i, n, m, t, w, h: gen_fn(m, t, w, h) if (i < n) else None,
-                [img_i, num_images, model_choice2, txt_input2, width_slider2, height_slider2],
-                o
-            )
-            stop_button2.click(lambda s: gr.update(interactive=False), None, stop_button2, cancels=[gen_event2])
-
-demo.queue(concurrency_count=36)                        
+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 = 32
+default_models = models[:num_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}')
+
+
+with gr.Blocks() as demo:
+    with gr.Tab('Multiple models'): 
+        with gr.Accordion('Model selection'):
+            model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
+
+
+        txt_input = gr.Textbox(label = 'Prompt text')
+        gen_button = gr.Button('Generate')
+        stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
+        gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
+           
+        with gr.Row():
+            output = [gr.Image(label = m) for m in default_models]
+            current_models = [gr.Textbox(m, visible = False) for m in default_models]
+            
+            model_choice.change(update_imgbox, model_choice, output)
+            model_choice.change(extend_choices, model_choice, current_models)
+
+        for m, o in zip(current_models, output):
+            gen_event = gen_button.click(gen_fn, [m, txt_input], o, queue=False)
+                    
+            
+    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')
+        
+        max_images = 16
+        num_images = gr.Slider(1, max_images, value = max_images, step = 1, label = 'Number of images')
+        
+        gen_button2 = gr.Button('Generate')
+        stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False)
+        gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2)
+        
+        with gr.Row():
+            output2 = [gr.Image(label = '') for _ in range(max_images)]
+
+        for i, o in enumerate(output2):
+            img_i = gr.Number(i, visible = False)
+            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o)
+            gen_event2 = gen_button2.click(lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, [img_i, num_images, model_choice2, txt_input2], o)
+            stop_button2.click(lambda s: gr.update(interactive = False), None, stop_button2, cancels = [gen_event2])
+
+    
+demo.queue(concurrency_count = 36)                        
 demo.launch()