Update app_df.py

app_df.py

@@ -195,7 +195,7 @@ with gr.Blocks() as demo:
                     seed = gr.Number(label="Seed (optional)", precision=0)
                     prompt_enhancer = gr.Checkbox(label="Prompt Enhancer")
                     use_teacache = gr.Checkbox(label="Use TeaCache")
-                    teacache_thresh = gr.Slider(minimum=0.0, maximum=1.0, value=0.2, step=0.01, label="TeaCache Threshold")
+                    teacache_thresh = gr.Slider(minimum=0.0, maximum=1.0, value=0.3, step=0.01, label="TeaCache Threshold")
                     use_ret_steps = gr.Checkbox(label="Use Retention Steps")
 
                 submit_btn = gr.Button("Generate")
@@ -221,6 +221,9 @@ with gr.Blocks() as demo:
         addnoise_condition = 0
         ar_step = 0
         causal_block_size = 1
+        use_teacache = False
+        teacache_tresh = 0.3
+        use_ret_steps = False
 
         if target_l == "4":
             n_frames = 97
@@ -228,10 +231,16 @@ with gr.Blocks() as demo:
             n_frames = 257
             overlap_history = 17
             addnoise_condition = 20
+            use_teacache = True
+            teacache_tresh = 0.3
+            use_ret_steps = True
         elif target_l == "15":
             n_frames = 377
             overlap_history = 17
             addnoise_condition = 20
+            use_teacache = True
+            teacache_tresh = 0.3
+            use_ret_steps = True
         elif target_l == "30":
             n_frames = 737
             overlap_history = 17
@@ -245,13 +254,13 @@ with gr.Blocks() as demo:
             ar_step = 5
             causal_block_size = 5
         
-        return n_frames, overlap_history, addnoise_condition, ar_step, causal_block_size
+        return n_frames, overlap_history, addnoise_condition, ar_step, causal_block_size, use_teacache, teacache_tresh, use_ret_steps
         
 
     target_length.change(
         fn = set_num_frames,
         inputs = [target_length],
-        outputs = [num_frames, overlap_history, addnoise_condition, ar_step, causal_block_size],
+        outputs = [num_frames, overlap_history, addnoise_condition, ar_step, causal_block_size, use_teacache, teacache_tresh, use_ret_steps],
         queue = False
     )