Add application file

app.py

@@ -0,0 +1,41 @@
+import numpy as np
+import gradio as gr
+from datasets import load_dataset
+
+def generate_random_data():
+    # Load the dataset with the `large_random_1k` subset
+    dataset = load_dataset('poloclub/diffusiondb', 'large_random_1k')
+    # All data are stored in the `train` split
+    my_1k_data = dataset['train']
+    
+    random_i = np.random.choice(range(my_1k_data.num_rows))
+    
+    prompt = my_1k_data['prompt'][random_i]
+    image = my_1k_data['image'][random_i]
+   # user_name = my_1k_data['user_name'][random_i]
+   # nsfw = my_1k_data['image_nsfw'][random_i]
+    seed= my_1k_data['seed'][random_i]
+    step=my_1k_data['step'][random_i]
+    cfg= my_1k_data['cfg'][random_i]
+    sampler= my_1k_data['sampler'][random_i]
+    
+    return prompt, image, seed,step,cfg,sampler
+
+def random_data():
+    prompt, image, seed,step,cfg,sampler = generate_random_data()
+    
+    return prompt, image, seed,step,cfg,sampler
+
+iface = gr.Interface(fn=random_data, inputs=None, outputs=[
+    gr.outputs.Textbox(label="Prompt"),
+    gr.outputs.Image(label="Image",type="pil"),
+   # gr.outputs.Textbox(label="User Name"),
+   # gr.outputs.Textbox(label="NSFW")
+   gr.outputs.Textbox(label="seed"),
+   gr.outputs.Textbox(label="step"),
+   gr.outputs.Textbox(label="cfg"),
+   gr.outputs.Textbox(label="sampler")
+
+
+])
+iface.launch(debug=True)