fix: forward adapter to synth request, default LM to 1.7B

app.py

@@ -146,6 +146,8 @@ def _run_pipeline(caption, lyrics, bpm, duration, seed, steps, output_format,
 
     # -- Synth phase --
     synth_request["output_format"] = synth_fmt
+    if adapter:
+        synth_request["adapter"] = adapter
     if progress_cb:
         progress_cb("synth_submit", None)
     r = requests.post(f"{ACE_SERVER}/synth", json=synth_request, timeout=30)
@@ -179,14 +181,16 @@ def _run_pipeline(caption, lyrics, bpm, duration, seed, steps, output_format,
 # LM model scanning & on-demand download
 # ---------------------------------------------------------------------------
 
+DEFAULT_LM = "acestep-5Hz-lm-1.7B-Q8_0.gguf"
+
 AVAILABLE_LM_MODELS = [
-    "acestep-5Hz-lm-0.6B-Q8_0.gguf",
     "acestep-5Hz-lm-1.7B-Q8_0.gguf",
+    "acestep-5Hz-lm-0.6B-Q8_0.gguf",
     "acestep-5Hz-lm-4B-Q5_K_M.gguf",
 ]
 
 def _scan_lm_models():
-    """Return all available LM models (installed get a checkmark)."""
+    """Return LM model choices. Installed shown as-is, others need download."""
     installed = set()
     if os.path.isdir(MODELS_DIR):
         for f in os.listdir(MODELS_DIR):
@@ -194,11 +198,10 @@ def _scan_lm_models():
                 installed.add(f)
     choices = []
     for m in AVAILABLE_LM_MODELS:
-        label = m.replace(".gguf", "")
         if m in installed:
             choices.append(m)
         else:
-            choices.append(f"{m} (download)")
+            choices.append(f"{m} [not installed]")
     return choices
 
 
@@ -385,8 +388,8 @@ def gradio_main():
 
         actual_seed = None if seed is None or int(seed) < 0 else int(seed)
         adapter = None if lora_select == "None (no LoRA)" else lora_select
-        lm_model_file = lm_model_select.replace(" (download)", "") if lm_model_select else None
-        if lm_model_file and "(download)" in (lm_model_select or ""):
+        lm_model_file = lm_model_select.replace(" [not installed]", "") if lm_model_select else None
+        if lm_model_file and "[not installed]" in (lm_model_select or ""):
             _download_lm_model(lm_model_file)
         lm_model = lm_model_file
 
@@ -661,7 +664,7 @@ def gradio_main():
                     )
                     lm_model_select = gr.Dropdown(
                         label="LM Model", choices=_lm_model_choices(),
-                        value=_lm_model_choices()[0] if _lm_model_choices() else None, scale=1,
+                        value=DEFAULT_LM, scale=1,
                     )
 
                 with gr.Row(elem_classes="compact-row"):