remove titles

app.py

@@ -35,26 +35,26 @@ def encode_image(image_path):
     return base64.b64encode(image_file.read()).decode('utf-8')
 
 
-@spaces.GPU #[uncomment to use ZeroGPU]
-def infer(
-    prompt,
-    progress=gr.Progress(track_tqdm=True),
-):
-    # seed = random.randint(0, MAX_SEED)
-
-    # generator = torch.Generator().manual_seed(seed)
-
-    image = pipe(
-        prompt=prompt,
-        guidance_scale=0.,
-        num_inference_steps=4,
-        width=1420,
-        height=1080,
-        max_sequence_length=256,
+# @spaces.GPU #[uncomment to use ZeroGPU]
+# def infer(
+#     prompt,
+#     progress=gr.Progress(track_tqdm=True),
+# ):
+#     # seed = random.randint(0, MAX_SEED)
+
+#     # generator = torch.Generator().manual_seed(seed)
+
+#     image = pipe(
+#         prompt=prompt,
+#         guidance_scale=0.,
+#         num_inference_steps=4,
+#         width=1420,
+#         height=1080,
+#         max_sequence_length=256,
         
-    ).images[0]
+#     ).images[0]
 
-    return image
+#     return image
 
 @spaces.GPU #[uncomment to use ZeroGPU]
 def generate_description_fn(
@@ -118,17 +118,18 @@ css = """
 # generated_prompt = ""
 
 with gr.Blocks(css=css) as demo:
-    gr.Markdown("# Draptic: from garment image to technical flat sketch")
+    # gr.Markdown("# Draptic: from garment image to technical flat sketch")
     with gr.Row():
         with gr.Column(elem_id="col-input-image"):
-            gr.Markdown(" ## Drop your image here")
+            # gr.Markdown(" ## Drop your image here")
             input_image = gr.Image(type="filepath")
         with gr.Column(elem_id="col-container"):
             generate_button = gr.Button("Generate flat sketch", scale=0, variant="primary")
 
             result = gr.Image(label="Result", show_label=False)
 
-            gr.Markdown("## Description of the garment:")
+            if generated_prompt:
+                gr.Markdown("## Description of the garment:")
             generated_prompt = gr.Markdown("")
 
         gr.on(