Update app.py

app.py

@@ -18,13 +18,13 @@ clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-large-patch14")
 
 if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
-    pipe = synth.pipe_img(
+    pipe = sourcecode.pipe_img(
         model_path=model_path,
         device=device,
         use_torchcompile=False,
     )
 else:
-    pipe = synth.pipe_img(
+    pipe = sourcecode.pipe_img(
         model_path=model_path,
         device=device,
         apply_optimization=False,
@@ -65,7 +65,7 @@ def infer(
     sample_mid_interpolation = num_interpolation_steps
     remove_n_middle = 0
 
-    interpolated_prompt_embeds, prompt_metadata = synth.interpolatePrompts(
+    interpolated_prompt_embeds, prompt_metadata = sourcecode.interpolatePrompts(
         prompts,
         pipe,
         num_interpolation_steps,
@@ -75,7 +75,7 @@ def infer(
     )
     negative_prompts = [negative_prompt, negative_prompt]
     if negative_prompts != ["", ""]:
-        interpolated_negative_prompts_embeds, _ = synth.interpolatePrompts(
+        interpolated_negative_prompts_embeds, _ = sourcecode.interpolatePrompts(
             negative_prompts,
             pipe,
             num_interpolation_steps,