Update app.py

app.py

@@ -14,5 +14,44 @@ else:
 subprocess.run(["git", "clone", "https://github.com/Nick088Official/Stable_Diffusion_Finetuned_Minecraft_Skin_Generator.git"])
 os.chdir("Stable_Diffusion_Finetuned_Minecraft_Skin_Generator")
 
+def run_inference(prompt, stable_diffusion_model, num_inference_steps, guidance_scale, model_precision_type, seed, output_image_name, verbose):
+    if stable_diffusion_model == '2':
+        sd_model = "minecraft-skins"
+    else:
+        sd_model = "minecraft-skins-sdxl"
 
-subprocess.run([r"Run_Inference_UI.bat"], check=True, shell=True)
+    command = f"python Python_Scripts/{sd_model}.py '{prompt}' {num_inference_steps} {guidance_scale} {model_precision_type} {seed} {output_image_name} {'--verbose' if verbose else ''}"
+    
+    os.system(command)
+
+    return os.path.join(f"output_minecraft_skins/{output_image_name}")
+
+    
+# Define Gradio UI components
+prompt = gr.Textbox(label="Your Prompt", info="What the Minecraft Skin should look like")
+stable_diffusion_model = gr.Dropdown(['2', 'xl'], value="xl", label="Stable Diffusion Model", info="Choose which Stable Diffusion Model to use, xl understands prompts better")
+num_inference_steps = gr.Number(label="Number of Inference Steps", precision=0, value=25)
+guidance_scale = gr.Number(minimum=0.1, value=7.5, label="Guidance Scale", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference")
+model_precision_type = gr.Dropdown(["fp16", "fp32"], value="fp16", label="Model Precision Type", info="The precision type to load the model, like fp16 which is faster, or fp32 which gives better results")
+seed = gr.Number(value=42, label="Seed", info="A starting point to initiate generation, put 0 for a random one")
+output_image_name = gr.Textbox(label="Output Image Name", info="The name of the file of the output image skin, keep the .png", value="output-skin.png")
+verbose = gr.Checkbox(label="Verbose Output", info="Produce more detailed output while running", value=False)
+
+
+# Create the Gradio interface
+gr.Interface(
+    fn=run_inference,
+    inputs=[
+        prompt,
+        stable_diffusion_model,
+        num_inference_steps,
+        guidance_scale,
+        model_precision_type,
+        seed,
+        output_image_name,
+        verbose
+    ],
+    outputs=gr.Image(label="Generated Minecraft Skin Image Asset"),
+    title="Minecraft Skin Generator",
+    description="Make AI generated Minecraft Skins by a Finetuned Stable Diffusion Version!<br>Model used: https://github.com/Nick088Official/Stable_Diffusion_Finetuned_Minecraft_Skin_Generator<br>Hugging Face Space made by [Nick088](https://linktr.ee/Nick088)",
+).launch(show_api=False, share=True)