Move HF Space to Gradio 5

AGENTS.md

@@ -65,7 +65,7 @@ python -c "import torch; print(torch.cuda.is_available())"
 - Display name assembly: `_get_display_name()` appends `(500 epochs·40k)` style training info
 
 **UI** (`ui/app.py`):
-- Gradio 4.44.1, single-file ~2000 lines
+- Gradio 5.49.1, single-file ~2000 lines
 - i18n via `i18n/zh_CN.json`, accessed through `t(key, section)` helper
 - Three main tabs: song cover (full pipeline), model management, settings
 - Cover tab features:
@@ -116,7 +116,7 @@ python -c "import torch; print(torch.cuda.is_available())"
 - `fairseq` is pinned to `0.12.2` — HuBERT loading breaks on other versions
 - `audio-separator` must be installed with `[gpu]` extra for CUDA support
 - Roformer model auto-downloads on first use to `assets/separator_models/`
-- Gradio is pinned to `4.44.1`; `huggingface_hub` is kept below 1.0 because this Gradio release still imports `HfFolder`
+- Gradio is pinned to `5.49.1`; `huggingface_hub` is kept below 1.0 to stay aligned with the HF Space runtime
 - Model weights (.pt, .pth) and audio files are gitignored — never commit them
 - Path handling uses `pathlib.Path` for cross-platform compatibility (Windows/Linux)
 - Virtual environment activation differs by platform: `Scripts/Activate.ps1` (Windows) vs `bin/activate` (Linux)

CLAUDE.md

@@ -65,7 +65,7 @@ python -c "import torch; print(torch.cuda.is_available())"
 - Display name assembly: `_get_display_name()` appends `(500 epochs·40k)` style training info
 
 **UI** (`ui/app.py`):
-- Gradio 4.44.1, single-file ~2000 lines
+- Gradio 5.49.1, single-file ~2000 lines
 - i18n via `i18n/zh_CN.json`, accessed through `t(key, section)` helper
 - Three main tabs: song cover (full pipeline), model management, settings
 - Cover tab features:
@@ -116,7 +116,7 @@ python -c "import torch; print(torch.cuda.is_available())"
 - `fairseq` is pinned to `0.12.2` — HuBERT loading breaks on other versions
 - `audio-separator` must be installed with `[gpu]` extra for CUDA support
 - Roformer model auto-downloads on first use to `assets/separator_models/`
-- Gradio is pinned to `4.44.1`; `huggingface_hub` is kept below 1.0 because this Gradio release still imports `HfFolder`
+- Gradio is pinned to `5.49.1`; `huggingface_hub` is kept below 1.0 to stay aligned with the HF Space runtime
 - Model weights (.pt, .pth) and audio files are gitignored — never commit them
 - Path handling uses `pathlib.Path` for cross-platform compatibility (Windows/Linux)
 - Virtual environment activation differs by platform: `Scripts/Activate.ps1` (Windows) vs `bin/activate` (Linux)

README.md

@@ -4,7 +4,7 @@ emoji: 🎤
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 5.49.1
 python_version: "3.10"
 app_file: app.py
 pinned: false
@@ -20,7 +20,7 @@ AI-RVC 是一个基于 **RVC v2** 的一键 AI 翻唱与声音转换 WebUI。上
 ## 功能特点
 
 - **AI 歌曲翻唱**：上传 MP3/WAV/FLAC，自动分离人声、转换音色、混合伴奏，一键生成 AI cover。
-- **人声分离**：默认 `audio-separator` 0.44.1 ensemble 预设（`ensemble:vocal_rvc`），配合 Gradio 4 / NumPy 2 运行，可处理常见歌曲里的主唱与伴奏分离。
+- **人声分离**：默认 `audio-separator` 0.44.1 ensemble 预设（`ensemble:vocal_rvc`），配合 Gradio 5 / NumPy 2 运行，可处理常见歌曲里的主唱与伴奏分离。
 - **音色转换**：RVC v2 架构 + FAISS 检索增强流程，搭配角色模型完成声线转换。
 - **RMVPE 音高提取**：用于提取 F0 基频曲线，让旋律和音高更稳。
 - **角色模型**：内置 117 个可下载角色模型，支持系列筛选和关键词搜索。

README_HF.md

@@ -4,7 +4,7 @@ emoji: 🎤
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 5.49.1
 python_version: "3.10"
 app_file: app.py
 pinned: false
@@ -20,7 +20,7 @@ AI-RVC 是一个基于 **RVC v2** 的一键 AI 翻唱与声音转换 WebUI。上
 ## 功能特点
 
 - **AI 歌曲翻唱**：上传 MP3/WAV/FLAC，自动分离人声、转换音色、混合伴奏，一键生成 AI cover。
-- **人声分离**：默认 `audio-separator` 0.44.1 ensemble 预设（`ensemble:vocal_rvc`），配合 Gradio 4 / NumPy 2 运行，可处理常见歌曲里的主唱与伴奏分离。
+- **人声分离**：默认 `audio-separator` 0.44.1 ensemble 预设（`ensemble:vocal_rvc`），配合 Gradio 5 / NumPy 2 运行，可处理常见歌曲里的主唱与伴奏分离。
 - **音色转换**：RVC v2 架构 + FAISS 检索增强流程，搭配角色模型完成声线转换。
 - **RMVPE 音高提取**：用于提取 F0 基频曲线，让旋律和音高更稳。
 - **角色模型**：内置 117 个可下载角色模型，支持系列筛选和关键词搜索。

install.py

@@ -27,7 +27,7 @@ PYTHON310_CANDIDATES = [
 PACKAGES = {
     "torch": {"import": "torch", "name": "PyTorch", "pip": "torch"},
     "torchaudio": {"import": "torchaudio", "name": "torchaudio", "pip": "torchaudio"},
-    "gradio": {"import": "gradio", "name": "Gradio", "pip": "gradio==4.44.1"},
+    "gradio": {"import": "gradio", "name": "Gradio", "pip": "gradio==5.49.1"},
     "librosa": {"import": "librosa", "name": "librosa", "pip": "librosa"},
     "soundfile": {"import": "soundfile", "name": "soundfile", "pip": "soundfile"},
     "av": {"import": "av", "name": "PyAV", "pip": "av"},

requirements.txt

@@ -7,7 +7,7 @@ torch>=2.0.0
 torchaudio>=2.0.0
 
 # Gradio 界面
-gradio==4.44.1
+gradio==5.49.1
 fastapi>=0.115,<1
 anyio>=3,<5
 pydantic>=2,<3

requirements_hf.txt

@@ -7,7 +7,7 @@ torch>=2.0.0
 torchaudio>=2.0.0
 
 # Gradio 界面
-gradio==4.44.1
+gradio==5.49.1
 fastapi>=0.115,<1
 anyio>=3,<5
 pydantic>=2,<3

tests/test_hf_entrypoint.py

@@ -28,12 +28,12 @@ class HuggingFaceEntrypointTests(unittest.TestCase):
 
         self.assertIn('python_version: "3.10"', readme)
 
-    def test_space_requirements_keep_gradio_4_audio_separator_pins(self):
+    def test_space_requirements_keep_gradio_5_audio_separator_pins(self):
         requirements = (REPO_ROOT / "requirements_hf.txt").read_text(
             encoding="utf-8"
         )
 
-        self.assertIn("gradio==4.44.1", requirements)
+        self.assertIn("gradio==5.49.1", requirements)
         self.assertIn("fastapi>=0.115,<1", requirements)
         self.assertIn("pydantic>=2,<3", requirements)
         self.assertIn("jinja2>=3.1,<4", requirements)

ui/app.py

@@ -1318,7 +1318,7 @@ table thead td,
     border-color: #404040 !important;
 }
 
-/* Gradio 4.x Dataframe 表头 */
+/* Gradio 4/5 Dataframe 表头 */
 .svelte-1kcgrqr thead th,
 .svelte-1kcgrqr thead td,
 .cell-wrap span,
@@ -1372,7 +1372,7 @@ input[type="range"] {
     accent-color: #ff9800 !important;
 }
 
-/* Gradio 4.x 音频波形 */
+/* Gradio 4/5 音频波形 */
 .waveform-container,
 .audio-container {
     --waveform-color: #ff9800 !important;