feat: add app.py and requirements.txt for text-to-speech functionality

.gitignore

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+.aider*
+venv/

app.py

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+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)
+
+
+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])
+    model.load_sbv2file_from_path(uid, hf_hub_download(repo_id, filename))
+    print("All setup is done!")
+    style_vector = model.get_style_vector(uid, 0, 1.0)
+    return model.synthesize(text, uid, style_vector, sdp, 1.0 / speed)
+
+
+iface = gr.Interface(
+    fn=load_and_synthesize,  # The function to call
+    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, default=0.0, label="SDP"
+        ),  # SDP input
+        gr.Slider(
+            minimum=0.5, maximum=2.0, step=0.1, default=1.0, label="Speed"
+        ),  # Speed input
+    ],
+    outputs="audio",
+    title="SBV2音声合成",
+    description="テキストとモデルのパスを入力して音声を生成します。SDPと速度を調整して音声の質を変更できます。",
+    examples=[
+        "おはようございます。",
+        "googlefan/sbv2_personal_models/tenkas.sbv2",
+        0.0,
+        1.0,
+    ],
+)
+
+# Launch the Gradio app
+iface.launch()

requirements.txt

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+git+https://github.com/tuna2134/sbv2-api#egg=sbv2_bindings&subdirectory=sbv2_bindings
+gradio