Update app.py

Updates to GUI, Labels, and descriptions

app.py

@@ -9,14 +9,16 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = DiffusionPipeline.from_pretrained("prompthero/openjourney-v2", torch_dtype=torch.float16, safety_checker=None)
 pipe = pipe.to(device)
 
-def genie (prompt, scale, steps, seed):
-     generator = torch.Generator(device=device).manual_seed(seed)
+def genie (prompt, scale, steps, Seed):
+     generator = torch.Generator(device=device).manual_seed(Seed)
      images = pipe(prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
      return images
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
-                               gr.Slider(1, maximum=15, value=10, step=.25), 
-                               gr.Slider(1, maximum=100, value=50, step=1), 
-                               gr.Slider(minimum=1, step=1, maximum=987654321, randomize=True)], 
-             outputs='image', title="OpenJourney V2 GPU", description="OJ V2 GPU.", 
+                               gr.Slider(1, maximum=15, value=10, step=.25, label='Prompt Guidance Scale:', interactive=True), 
+                               gr.Slider(1, maximum=100, value=50, step=1, label='Number of Iterations: 50 is typically fine.'), 
+                               gr.Slider(minimum=1, step=1, maximum=987654321, randomize=True, interactive=True)], 
+             outputs=gr.Image(label='512x512 Generated Image'), 
+             title="OpenJourney V2 GPU", 
+             description="OJ V2 GPU. Ultra Fast, now running on a T4", 
              article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True)