refactor(app.py): update default UID and add concurrency limit

app.py

@@ -1,15 +1,14 @@
 import gradio as gr
 from huggingface_hub import hf_hub_download
 from sbv2_bindings import TTSModel
-from uuid import uuid4
 
 bert = hf_hub_download("googlefan/sbv2_onnx_models", "deberta.onnx")
 tokenizer = hf_hub_download("googlefan/sbv2_onnx_models", "tokenizer.json")
 model = TTSModel.from_path(bert, tokenizer)
+uid = "default"
 
 
 def load_and_synthesize(text: str, path: str, sdp: float = 0.0, speed: float = 1.0):
-    uid = str(uuid4())
     path = path.split("/")
     filename = path[-1]
     repo_id = "/".join(path[:-1])
@@ -19,16 +18,13 @@ def load_and_synthesize(text: str, path: str, sdp: float = 0.0, speed: float = 1
 
 
 iface = gr.Interface(
-    fn=load_and_synthesize,  # The function to call
+    fn=load_and_synthesize,
+    concurrency_limit=1,
     inputs=[
-        gr.Textbox(lines=2, placeholder="テキスト"),  # Text input
-        gr.Textbox(lines=1, max_lines=1, placeholder="パス"),  # Path input
-        gr.Slider(
-            minimum=0.0, maximum=1.0, step=0.01, value=0.0, label="SDP"
-        ),  # SDP input
-        gr.Slider(
-            minimum=0.5, maximum=2.0, step=0.1, value=1.0, label="Speed"
-        ),  # Speed input
+        gr.Textbox(lines=2, placeholder="テキスト"),
+        gr.Textbox(lines=1, max_lines=1, placeholder="パス"),
+        gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.0, label="SDP"),
+        gr.Slider(minimum=0.5, maximum=2.0, step=0.1, value=1.0, label="Speed"),
     ],
     outputs="audio",
     title="SBV2音声合成",
@@ -36,12 +32,17 @@ iface = gr.Interface(
     examples=[
         [
             "おはようございます。",
-            "googlefan/sbv2_personal_models/tenkas.sbv2",
+            "googlefan/sbv2_personal_models/tsukuyomi.sbv2",
             0.0,
             1.0,
-        ]
+        ],
+        [
+            "今日の天気は晴れです。場所によっては雨が降るでしょう。",
+            "googlefan/sbv2_personal_models/iroha.sbv2",
+            0.0,
+            1.1,
+        ],
     ],
 )
 
-# Launch the Gradio app
 iface.launch()