Update app.py

app.py

@@ -11,6 +11,19 @@ api = HfApi()
 
 hf_token = os.environ.get("HF_TOKEN_WITH_WRITE_PERMISSION")
 
+is_shared_ui = True if "fffiloni/train-dreambooth-lora-sdxl" in os.environ['SPACE_ID'] else False
+
+is_gpu_associated = torch.cuda.is_available()
+
+if is_gpu_associated:
+    gpu_info = getoutput('nvidia-smi')
+    if("A10G" in gpu_info):
+        which_gpu = "A10G"
+    elif("T4" in gpu_info):
+        which_gpu = "T4"
+    else:
+        which_gpu = "CPU"
+
 def train_dreambooth_blora_sdxl(instance_data_dir, b_lora_trained_folder, instance_prompt, max_train_steps, checkpoint_steps):
     
     script_filename = "train_dreambooth_b-lora_sdxl.py"  # Assuming it's in the same folder
@@ -50,6 +63,12 @@ def train_dreambooth_blora_sdxl(instance_data_dir, b_lora_trained_folder, instan
         print(f"An error occurred: {e}")
 
 def main(image_path, b_lora_trained_folder, instance_prompt):
+
+    if is_shared_ui:
+        raise gr.Error("This Space only works in duplicated instances")
+
+    if not is_gpu_associated:
+        raise gr.Error("Please associate a T4 or A10G GPU for this Space")
     
     local_dir = "image_to_train"
     # Check if the directory exists and create it if necessary
@@ -73,6 +92,47 @@ css = """
 """
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
+        if is_shared_ui:
+            top_description = gr.HTML(f'''
+                <div class="gr-prose">
+                    <h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
+                    Attention: this Space need to be duplicated to work</h2>
+                    <p class="main-message">
+                        To make it work, <strong>duplicate the Space</strong> and run it on your own profile using a <strong>private</strong> GPU (T4-small or A10G-small).<br />
+                        A T4 costs <strong>US$0.60/h</strong>, so it should cost < US$1 to train most models.
+                    </p>
+                    <p class="actions">
+                        <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}?duplicate=true">
+                            <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-lg-dark.svg" alt="Duplicate this Space" />
+                        </a>
+                        to start training your own B-LoRa model
+                    </p>
+                </div>
+            ''', elem_id="warning-duplicate")
+        else:
+            if(is_gpu_associated):
+                top_description = gr.HTML(f'''
+                        <div class="gr-prose">
+                            <h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
+                            You have successfully associated a {which_gpu} GPU to the B-LoRa Training Space 🎉</h2>
+                            <p>
+                                You can now train your model! You will be billed by the minute from when you activated the GPU until when it is turned off.
+                            </p> 
+                        </div>
+                ''', elem_id="warning-ready")
+            else:
+                top_description = gr.HTML(f'''
+                        <div class="gr-prose">
+                        <h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
+                        You have successfully duplicated the B-LoRa Training Space 🎉</h2>
+                        <p>There's only one step left before you can train your model: <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings" style="text-decoration: underline" target="_blank">attribute a <b>T4-small or A10G-small GPU</b> to it (via the Settings tab)</a> and run the training below.
+                        You will be billed by the minute from when you activate the GPU until when it is turned off.</p> 
+                        <p class="actions">
+                            <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings">🔥 &nbsp; Set recommended GPU</a>
+                        </p>
+                        </div>
+                ''', elem_id="warning-setgpu")
+                
         image = gr.Image(sources=["upload"], type="filepath")
         b_lora_name = gr.Textbox(label="b_lora_name", placeholder="b_lora_trained_folder")
         instance_prompt = gr.Textbox(label="instance prompt", placeholder="[v42]")