Update app.py

app.py

@@ -147,7 +147,8 @@ def infer(use_custom_model, model_name, weight_name, custom_lora_weight, image_i
         image = image[:, :, None]
         image = np.concatenate([image, image, image], axis=2)
         image = Image.fromarray(image)
-    elif preprocessor == "lineart": 
+    
+    if preprocessor == "lineart": 
         image = load_image(image_in)
         image = Image.fromarray(image)
     
@@ -322,7 +323,7 @@ with gr.Blocks(css=css) as demo:
 
             with gr.Column():
                 with gr.Group():
-                    preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False, info="For the moment, only canny is available")  
+                    preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny", "lineart"], value="canny", interactive=True, info="For the moment, only canny is available")  
                     controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=1.0, step=0.01, value=0.5)
                 with gr.Group():
                     seed = gr.Slider(