Update app.py

app.py

@@ -12,19 +12,20 @@ def get_caption(image_in):
     return results[:4]  # Return first 4 images in case the API returns more
 
 def get_lcm(prompt):
+    # Make sure the indentation within this function is consistent
     client = Client("https://latent-consistency-lcm-lora-for-sdxl.hf.space/")
-    # Assuming 'client.predict' can return multiple image variations and accepts parameters to specify the number.
     results = client.predict(
         prompt,  # str in 'parameter_5' Textbox component
         0.3,     # float (numeric value between 0.0 and 5) in 'Guidance' Slider component
         8,       # float (numeric value between 2 and 10) in 'Steps' Slider component
         0,       # float (numeric value between 0 and 12013012031030) in 'Seed' Slider component
         True,    # bool in 'Randomize' Checkbox component
-        num_images=4,  # New parameter to request 4 images (this parameter name might be different)
+        # More parameters can be added here if needed
         api_name="/predict"
     )
+    # Process results and possibly call predict multiple times if multiple images are needed
     print(results)
-    return results[:4]  # Return first 4 images in case the API returns more
+    return results  # Placeholder for actual return value, consider gathering multiple predictions here
 
 
 def infer(image_in):