adding app file

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import random
+
+def gen_ims(prompt, im_prompt=None, seed=None, n_steps=10, method='plms'):
+  if seed == None :
+    seed = random.randint(0, 10000)
+  print( prompt, im_prompt, seed, n_steps)
+  prompts = [prompt]
+  im_prompts = []
+  if im_prompt != None:
+    im_prompts = [im_prompt]
+  pil_ims = generate(n=1, prompts=prompts, images=im_prompts, seed=seed, steps=n_steps, method=method)
+  return pil_ims[0]
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Stable Diffusion Explorer")
+    gr.Markdown("#### Try your hand at guessing the category of each image displayed, from the options provided. Compare your answers to that of a neural network trained on the dataset, and see if you can do better!")
+    with gr.Row():
+        with gr.Column():
+              gr.inputs.Textbox(label="Text prompt"),
+              gr.inputs.Image(optional=True, label="Image prompt", type='filepath'),
+        with gr.Column():
+              gr.inputs.Textbox(label="Text prompt"),
+              gr.inputs.Image(optional=True, label="Image prompt", type='filepath'),
+
+
+demo.launch()