From ef097101b7ab70120250c9c3f6394174e656590e Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sat, 13 Sep 2025 23:44:53 +0200
Subject: [PATCH 1/8] fix(webui): Add support for Gradio 5.45.0 and higher

- We were using ".select" to detect when tabs are changed, but Gradio has modified behavior in 5.45.0 to only trigger from user clicks. They now require that we use ".change" to detect tab changes from code. This fix makes the Examples work when loading on new Gradio versions.
---
 pyproject.toml |   2 +-
 uv.lock        | 172 +++++++++++++++++++++++++------------------------
 webui.py       |   4 +-
 3 files changed, 92 insertions(+), 86 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 75cf2f6..b79bad9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -65,7 +65,7 @@ dependencies = [
 [project.optional-dependencies]
 # To install the WebUI support, use `uv sync --extra webui` (or `--all-extras`).
 webui = [
-  "gradio==5.44.1",
+  "gradio==5.45.0",
 ]
 # To install the DeepSpeed support, use `uv sync --extra deepspeed` (or `--all-extras`).
 deepspeed = [
diff --git a/uv.lock b/uv.lock
index f88e9b1..7aa29e9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -698,7 +698,7 @@ dependencies = [
     { name = "randomname" },
     { name = "rich" },
     { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "scipy", version = "1.16.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "scipy", version = "1.16.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "soundfile" },
     { name = "tensorboard" },
     { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" },
@@ -945,7 +945,7 @@ wheels = [
 
 [[package]]
 name = "gradio"
-version = "5.44.1"
+version = "5.45.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -979,14 +979,14 @@ dependencies = [
     { name = "urllib3", marker = "sys_platform == 'emscripten'" },
     { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/0d/b9/d59c42dd5ff595bd55032178442724f3d64a23a6ded0bb0ec878cdd0733c/gradio-5.45.0.tar.gz", hash = "sha256:a45a0c868566d1db27cf77994a8f529fe5ce5b2673b9d2b9f3d99b4fbc1f89c7", size = 72287188, upload-time = "2025-09-10T17:06:22.696Z" }
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+    { url = "https://files.pythonhosted.org/packages/38/45/d3e732ce761c56ff9149bbd30da7d8ec89d000ee89e18a96a49217a5f4fb/gradio-5.45.0-py3-none-any.whl", hash = "sha256:71f3fdefa9a0f64d4bf48ebdb132e287bf81679be094124144dd55fbcf538097", size = 60350057, upload-time = "2025-09-10T17:06:18.043Z" },
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 [[package]]
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-version = "1.12.1"
+version = "1.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "fsspec" },
@@ -996,9 +996,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "websockets" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/92/aa/8ad1cc8be082867aaa941aae30a38d68db9fbaf4306a51143307acd79b7a/gradio_client-1.13.0-py3-none-any.whl", hash = "sha256:4489ebd07ae40c6cc7a6a02cf60a53e9e3345aa5342a3814c356775bbad64bbc", size = 325012, upload-time = "2025-09-10T17:06:30.721Z" },
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 [[package]]
@@ -1213,7 +1213,7 @@ requires-dist = [
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     { name = "ffmpeg-python", specifier = "==0.2.0" },
     { name = "g2p-en", specifier = "==2.1.0" },
-    { name = "gradio", marker = "extra == 'webui'", specifier = "==5.44.1" },
+    { name = "gradio", marker = "extra == 'webui'", specifier = "==5.45.0" },
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     { name = "json5", specifier = "==0.10.0" },
     { name = "keras", specifier = "==2.9.0" },
@@ -1564,7 +1564,7 @@ dependencies = [
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     { name = "scikit-learn" },
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-    { name = "scipy", version = "1.16.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "scipy", version = "1.16.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "soundfile" },
     { name = "soxr" },
     { name = "typing-extensions" },
@@ -2516,7 +2516,7 @@ wheels = [
 
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+version = "2.11.9"
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 dependencies = [
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@@ -2524,9 +2524,9 @@ dependencies = [
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@@ -2642,7 +2642,7 @@ dependencies = [
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-    { name = "scipy", version = "1.16.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "scipy", version = "1.16.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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@@ -2663,11 +2663,11 @@ wheels = [
 
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 ]
 
 [[package]]
diff --git a/webui.py b/webui.py
index f49c8af..c2a1a34 100644
--- a/webui.py
+++ b/webui.py
@@ -317,7 +317,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                 segments_preview: gr.update(value=df),
             }
 
-    def on_method_select(emo_control_method):
+    def on_method_change(emo_control_method):
         if emo_control_method == 1:  # emotion reference audio
             return (gr.update(visible=True),
                     gr.update(visible=False),
@@ -355,7 +355,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
         else:
             return gr.update(choices=EMO_CHOICES_BASE, value=EMO_CHOICES_BASE[0]), gr.update(visible=False),gr.update(value=example_cases[:-2])
 
-    emo_control_method.select(on_method_select,
+    emo_control_method.change(on_method_change,
         inputs=[emo_control_method],
         outputs=[emotion_reference_group,
                  emotion_randomize_group,

From 1520d0689baa4bacbf095e1c715417de555c123d Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sat, 13 Sep 2025 23:55:53 +0200
Subject: [PATCH 2/8] fix(webui): New default emo_alpha recommendation instead
 of scaling

- Silently scaling the value internally is confusing for users. They may be tuning their settings via the Web UI before putting the same values into their Python code, and would then get a different result since the Web UI "lies" about the slider values.

- Instead, let's remove the silent scaling, and just change the default weight to a better recommendation.
---
 examples/cases.jsonl | 4 ++--
 webui.py             | 4 +---
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/examples/cases.jsonl b/examples/cases.jsonl
index 32434ac..98b5f30 100644
--- a/examples/cases.jsonl
+++ b/examples/cases.jsonl
@@ -4,8 +4,8 @@
 {"prompt_audio":"voice_04.wav","text":"你就需要我这种专业人士的帮助，就像手无缚鸡之力的人进入雪山狩猎，一定需要最老练的猎人指导。","emo_mode":0}
 {"prompt_audio":"voice_05.wav","text":"在真正的日本剑道中，格斗过程极其短暂，常常短至半秒，最长也不超过两秒，利剑相击的转瞬间，已有一方倒在血泊中。但在这电光石火的对决之前，双方都要以一个石雕般凝固的姿势站定，长时间的逼视对方，这一过程可能长达十分钟！","emo_mode":0}
 {"prompt_audio":"voice_06.wav","text":"今天呢，咱们开一部新书，叫《赛博朋克二零七七》。这词儿我听着都新鲜。这赛博朋克啊，简单理解就是“高科技，低生活”。这一听，我就明白了，于老师就爱用那高科技的东西，手机都得拿脚纹开，大冬天为了解锁脱得一丝不挂，冻得跟王八蛋似的。","emo_mode":0}
-{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight": 1.0, "emo_mode":1,"text":"酒楼丧尽天良，开始借机竞拍房间，哎，一群蠢货。"}
-{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight": 1.0, "emo_mode":1,"text":"你看看你，对我还有没有一点父子之间的信任了。"}
+{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight": 0.65, "emo_mode":1,"text":"酒楼丧尽天良，开始借机竞拍房间，哎，一群蠢货。"}
+{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight": 0.65, "emo_mode":1,"text":"你看看你，对我还有没有一点父子之间的信任了。"}
 {"prompt_audio":"voice_09.wav","emo_vec_3":0.8,"emo_mode":2,"text":"对不起嘛！我的记性真的不太好，但是和你在一起的事情，我都会努力记住的~"}
 {"prompt_audio":"voice_10.wav","emo_vec_7":1.0,"emo_mode":2,"text":"哇塞！这个爆率也太高了！欧皇附体了！"}
 {"prompt_audio":"voice_11.wav","emo_mode":3,"emo_text":"极度悲伤","text":"这些年的时光终究是错付了... "}
diff --git a/webui.py b/webui.py
index c2a1a34..302a5b3 100644
--- a/webui.py
+++ b/webui.py
@@ -142,8 +142,6 @@ def gen_single(emo_control_method,prompt, text,
     if emo_control_method == 0:  # emotion from speaker
         emo_ref_path = None  # remove external reference audio
     if emo_control_method == 1:  # emotion from reference audio
-        # normalize emo_alpha for better user experience
-        emo_weight = emo_weight * 0.8
         pass
     if emo_control_method == 2:  # emotion from custom vectors
         vec = [vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8]
@@ -233,7 +231,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
 
 
         with gr.Row(visible=False) as emo_weight_group:
-            emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.8, step=0.01)
+            emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.65, step=0.01)
 
         with gr.Accordion(i18n("高级生成参数设置"), open=False,visible=False) as advanced_settings_group:
             with gr.Row():

From 8aa8064a53c5b5b53ff20f6de94aaadc18a4cd9d Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sun, 14 Sep 2025 00:22:41 +0200
Subject: [PATCH 3/8] feat: Add reusable Emotion Vector normalization helper

- The WebUI was secretly squashing all emotion vectors and re-scaling them. It's a good idea for user friendliness, but it makes it harder to learn what values will work in Python when using the WebUI for testing.

- Instead, let's move the normalization code into IndexTTS2 as a helper function which is used by Gradio and can be used from other people's code too.

- The emotion bias (which reduces the influence of certain emotions) has also been converted into an optional feature, which can be turned off if such biasing isn't wanted. And all biasing values have been re-scaled to use 1.0 as the reference, to avoid scaling relative to 0.8 (which previously meant that it applied double scaling).
---
 indextts/infer_v2.py | 16 ++++++++++++++++
 webui.py             | 12 +-----------
 2 files changed, 17 insertions(+), 11 deletions(-)

diff --git a/indextts/infer_v2.py b/indextts/infer_v2.py
index afc285a..b39090b 100644
--- a/indextts/infer_v2.py
+++ b/indextts/infer_v2.py
@@ -305,6 +305,22 @@ class IndexTTS2:
                 print(f"Audio too long ({audio.shape[1]} samples), truncating to {max_audio_samples} samples")
             audio = audio[:, :max_audio_samples]
         return audio, sr
+    
+    def normalize_emo_vec(self, emo_vector, apply_bias=True):
+        # apply biased emotion factors for better user experience,
+        # by de-emphasizing emotions that can cause strange results
+        if apply_bias:
+            # [happy, angry, sad, afraid, disgusted, melancholic, surprised, calm]
+            emo_bias = [0.9375, 0.875, 1.0, 1.0, 0.9375, 0.9375, 0.6875, 0.5625]
+            emo_vector = [vec * bias for vec, bias in zip(emo_vector, emo_bias)]
+
+        # the total emotion sum must be 0.8 or less
+        emo_sum = sum(emo_vector)
+        if emo_sum > 0.8:
+            scale_factor = 0.8 / emo_sum
+            emo_vector = [vec * scale_factor for vec in emo_vector]
+
+        return emo_vector
 
     # 原始推理模式
     def infer(self, spk_audio_prompt, text, output_path,
diff --git a/webui.py b/webui.py
index 302a5b3..0a97f75 100644
--- a/webui.py
+++ b/webui.py
@@ -6,8 +6,6 @@ import time
 
 import warnings
 
-import numpy as np
-
 warnings.filterwarnings("ignore", category=FutureWarning)
 warnings.filterwarnings("ignore", category=UserWarning)
 
@@ -104,14 +102,6 @@ with open("examples/cases.jsonl", "r", encoding="utf-8") as f:
                              example.get("emo_text") is not None]
                              )
 
-def normalize_emo_vec(emo_vec):
-    # emotion factors for better user experience
-    k_vec = [0.75,0.70,0.80,0.80,0.75,0.75,0.55,0.45]
-    tmp = np.array(k_vec) * np.array(emo_vec)
-    if np.sum(tmp) > 0.8:
-        tmp = tmp * 0.8/ np.sum(tmp)
-    return tmp.tolist()
-
 def gen_single(emo_control_method,prompt, text,
                emo_ref_path, emo_weight,
                vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8,
@@ -145,7 +135,7 @@ def gen_single(emo_control_method,prompt, text,
         pass
     if emo_control_method == 2:  # emotion from custom vectors
         vec = [vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8]
-        vec = normalize_emo_vec(vec)
+        vec = tts.normalize_emo_vec(vec, apply_bias=True)
     else:
         # don't use the emotion vector inputs for the other modes
         vec = None

From c266910cc6d2d910ba449f997e36bd5372f8608e Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sun, 14 Sep 2025 00:33:42 +0200
Subject: [PATCH 4/8] refactor(webui): Remove repeated code in Examples loader

---
 webui.py | 25 +++++++++----------------
 1 file changed, 9 insertions(+), 16 deletions(-)

diff --git a/webui.py b/webui.py
index 0a97f75..ac46cc0 100644
--- a/webui.py
+++ b/webui.py
@@ -260,10 +260,14 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                 length_penalty, num_beams, repetition_penalty, max_mel_tokens,
                 # typical_sampling, typical_mass,
             ]
-        
-        if len(example_cases) > 2:
+
+        if len(example_cases) > 0:
             example_table = gr.Examples(
-                examples=example_cases[:-2],
+                examples=(
+                    example_cases[:-2]
+                    if len(example_cases) > 2
+                    else example_cases
+                ),
                 examples_per_page=20,
                 inputs=[prompt_audio,
                         emo_control_method,
@@ -271,19 +275,8 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                         emo_upload,
                         emo_weight,
                         emo_text,
-                        vec1,vec2,vec3,vec4,vec5,vec6,vec7,vec8,experimental_checkbox]
-            )
-        elif len(example_cases) > 0:
-            example_table = gr.Examples(
-                examples=example_cases,
-                examples_per_page=20,
-                inputs=[prompt_audio,
-                        emo_control_method,
-                        input_text_single,
-                        emo_upload,
-                        emo_weight,
-                        emo_text,
-                        vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8, experimental_checkbox]
+                        vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8,
+                        experimental_checkbox]
             )
 
     def on_input_text_change(text, max_text_tokens_per_segment):

From e185fa1ce748de6759f772f3852024c5443724f3 Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sun, 14 Sep 2025 00:35:38 +0200
Subject: [PATCH 5/8] fix(webui): Make the Advanced Settings visible by default
 again

- The Advanced Settings contains some very advanced features which users shouldn't tweak, but it also contains important insight into segmentation generations, and the "max tokens per generation segment" feature which users must tweak if they have low VRAM.

- Therefore it's very important that users notice the "Advanced Settings" section so that they can read the VRAM help text and reduce the segment length if they have VRAM issues. So let's make the advanced category visible by default again until a better solution is determined.
---
 webui.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/webui.py b/webui.py
index ac46cc0..ee5eb5f 100644
--- a/webui.py
+++ b/webui.py
@@ -223,7 +223,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
         with gr.Row(visible=False) as emo_weight_group:
             emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.65, step=0.01)
 
-        with gr.Accordion(i18n("高级生成参数设置"), open=False,visible=False) as advanced_settings_group:
+        with gr.Accordion(i18n("高级生成参数设置"), open=False, visible=True) as advanced_settings_group:
             with gr.Row():
                 with gr.Column(scale=1):
                     gr.Markdown(f"**{i18n('GPT2 采样设置')}** _{i18n('参数会影响音频多样性和生成速度详见')} [Generation strategies](https://huggingface.co/docs/transformers/main/en/generation_strategies)._")
@@ -332,9 +332,9 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
         # 切换情感控制选项
         # 第三个返回值实际没有起作用
         if is_exp:
-            return gr.update(choices=EMO_CHOICES_EXPERIMENTAL, value=EMO_CHOICES_EXPERIMENTAL[0]), gr.update(visible=True),gr.update(value=example_cases)
+            return gr.update(choices=EMO_CHOICES_EXPERIMENTAL, value=EMO_CHOICES_EXPERIMENTAL[0]), gr.update(value=example_cases)
         else:
-            return gr.update(choices=EMO_CHOICES_BASE, value=EMO_CHOICES_BASE[0]), gr.update(visible=False),gr.update(value=example_cases[:-2])
+            return gr.update(choices=EMO_CHOICES_BASE, value=EMO_CHOICES_BASE[0]), gr.update(value=example_cases[:-2])
 
     emo_control_method.change(on_method_change,
         inputs=[emo_control_method],
@@ -354,7 +354,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
     experimental_checkbox.change(
         on_experimental_change,
         inputs=[experimental_checkbox],
-        outputs=[emo_control_method, advanced_settings_group,example_table.dataset]  # 高级参数Accordion
+        outputs=[emo_control_method, example_table.dataset]  # 高级参数Accordion
     )
 
     max_text_tokens_per_segment.change(

From c5f9a311275447707791c2758a2267dd137142f2 Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sun, 14 Sep 2025 01:22:34 +0200
Subject: [PATCH 6/8] fix(webui): Make the Emotion Control Weight slider
 visible again

- The emotion weight is always applied in every mode except "Same as voice reference", so we must make the slider visible so that users can control the value. Otherwise it would silently apply the last-set value without the user knowing, which is very confusing.

- Furthermore, having the slider even on the Emotion Vectors page is *very* useful, because it allows users to rapidly change the total strength of the current emotion vectors without having to manually/carefully move every individual emotion slider.
---
 webui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui.py b/webui.py
index ee5eb5f..9006fae 100644
--- a/webui.py
+++ b/webui.py
@@ -311,7 +311,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                     gr.update(visible=True),
                     gr.update(visible=True),
                     gr.update(visible=False),
-                    gr.update(visible=False)
+                    gr.update(visible=True)
                     )
         elif emo_control_method == 3:  # emotion text description
             return (gr.update(visible=False),

From ec368de9329c7beffa3df369005c7d25e7684980 Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Sun, 14 Sep 2025 21:04:20 +0200
Subject: [PATCH 7/8] fix(webui): Experimental checkbox bugfixes and add visual
 warning label

- We can't use the original "Show experimental features" checkbox implementation, because it *deeply* breaks Gradio.

- Gradio's `gr.Examples()` API binds itself to the original state of the user interface. Gradio crashes and causes various bugs if we try to change the available UI controls later.

- Instead, we must use `gr.Dataset()` which acts like a custom input/output control and doesn't directly bind itself to the target control. We must also provide a secret, hidden "all mode choices" component so that it knows the names of all "control modes" that are possible in examples.

- We now also have a very visible warning label in the user interface, to clearly mark the experimental features.

- Bugs fixed:

* The code was unable to toggle the visibility of Experimental demos in the Examples list. It was not possible with Examples (since it's a wrapper around Dataset, but Examples contains its own internal state/copy of all data). Instead, we use a Dataset and manipulate its list directly.

* Gradio crashes with a `gradio.exceptions.Error` exception if you try to load an example that tries to use an experimental feature if we have removed its UI element. This is because Examples binds to the original user interface and *remembers* the list of choices, and it *cannot* dynamically select something that did not exist when the `gr.Examples()` was initially created. This problem is fixed by switching to `gr.Dataset()`.

* Furthermore, Gradio's `gr.Examples()` handler actually remembers and caches the list of UI options. So every time we load an example, it rewrites the "Emotion Control Mode" selection menu to only show the options that were available when the Examples table was created. This means that even if we keep the "Show experimental features" checkbox, Gradio itself will erase the experimental mode from the Control Mode selection menu every time the user loads an example. There are no callbacks or "update" functions to allow us to override this automatic Gradio behavior. But by switching to `gr.Dataset()`, we completely avoid this deep binding.

* The "Show experimental features" checkbox is no longer tied to a column in the examples-table, to avoid fighting between Gradio's example table trying to set the mode, and the experimental checkbox being toggled and also trying to set the mode.

* Lastly, the "Show experimental features" checkbox now remembers and restores the user's current mode selection when toggling the checkbox, instead of constantly resetting to the default mode ("same as voice reference"), to make the UI more convenient for users.
---
 examples/cases.jsonl         |   8 +--
 tools/i18n/locale/en_US.json |   5 +-
 tools/i18n/locale/zh_CN.json |   5 +-
 webui.py                     | 135 +++++++++++++++++++++++++----------
 4 files changed, 108 insertions(+), 45 deletions(-)

diff --git a/examples/cases.jsonl b/examples/cases.jsonl
index 98b5f30..69eee3e 100644
--- a/examples/cases.jsonl
+++ b/examples/cases.jsonl
@@ -4,9 +4,9 @@
 {"prompt_audio":"voice_04.wav","text":"你就需要我这种专业人士的帮助，就像手无缚鸡之力的人进入雪山狩猎，一定需要最老练的猎人指导。","emo_mode":0}
 {"prompt_audio":"voice_05.wav","text":"在真正的日本剑道中，格斗过程极其短暂，常常短至半秒，最长也不超过两秒，利剑相击的转瞬间，已有一方倒在血泊中。但在这电光石火的对决之前，双方都要以一个石雕般凝固的姿势站定，长时间的逼视对方，这一过程可能长达十分钟！","emo_mode":0}
 {"prompt_audio":"voice_06.wav","text":"今天呢，咱们开一部新书，叫《赛博朋克二零七七》。这词儿我听着都新鲜。这赛博朋克啊，简单理解就是“高科技，低生活”。这一听，我就明白了，于老师就爱用那高科技的东西，手机都得拿脚纹开，大冬天为了解锁脱得一丝不挂，冻得跟王八蛋似的。","emo_mode":0}
-{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight": 0.65, "emo_mode":1,"text":"酒楼丧尽天良，开始借机竞拍房间，哎，一群蠢货。"}
-{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight": 0.65, "emo_mode":1,"text":"你看看你，对我还有没有一点父子之间的信任了。"}
-{"prompt_audio":"voice_09.wav","emo_vec_3":0.8,"emo_mode":2,"text":"对不起嘛！我的记性真的不太好，但是和你在一起的事情，我都会努力记住的~"}
-{"prompt_audio":"voice_10.wav","emo_vec_7":1.0,"emo_mode":2,"text":"哇塞！这个爆率也太高了！欧皇附体了！"}
+{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight":0.65,"emo_mode":1,"text":"酒楼丧尽天良，开始借机竞拍房间，哎，一群蠢货。"}
+{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight":0.65,"emo_mode":1,"text":"你看看你，对我还有没有一点父子之间的信任了。"}
+{"prompt_audio":"voice_09.wav","emo_weight": 0.8,"emo_mode":2,"emo_vec_3":0.8,"text":"对不起嘛！我的记性真的不太好，但是和你在一起的事情，我都会努力记住的~"}
+{"prompt_audio":"voice_10.wav","emo_weight": 0.8,"emo_mode":2,"emo_vec_7":1.0,"text":"哇塞！这个爆率也太高了！欧皇附体了！"}
 {"prompt_audio":"voice_11.wav","emo_mode":3,"emo_text":"极度悲伤","text":"这些年的时光终究是错付了... "}
 {"prompt_audio":"voice_12.wav","emo_mode":3,"emo_text":"You scared me to death! What are you, a ghost?","text":"快躲起来！是他要来了！他要来抓我们了！"}
\ No newline at end of file
diff --git a/tools/i18n/locale/en_US.json b/tools/i18n/locale/en_US.json
index 65e2858..e072dc1 100644
--- a/tools/i18n/locale/en_US.json
+++ b/tools/i18n/locale/en_US.json
@@ -42,8 +42,9 @@
   "请上传情感参考音频": "Please upload the emotion reference audio",
   "当前模型版本": "Current model version: ",
   "请输入目标文本": "Please input the text to synthesize",
-  "例如：委屈巴巴、危险在悄悄逼近": "e.g. deeply sad, danger is creeping closer",
+  "例如：委屈巴巴、危险在悄悄逼近": "e.g. \"deeply sad\", \"danger is creeping closer\"",
   "与音色参考音频相同": "Same as the voice reference",
   "情感随机采样": "Randomize emotion sampling",
-  "显示实验功能": "Show experimental features"
+  "显示实验功能": "Show experimental features",
+  "提示：此功能为实验版，结果尚不稳定，我们正在持续优化中。": "Note: This feature is currently experimental and may not produce satisfactory results. We're dedicated to improving its performance in a future release."
 }
\ No newline at end of file
diff --git a/tools/i18n/locale/zh_CN.json b/tools/i18n/locale/zh_CN.json
index 15e76bf..ca4045c 100644
--- a/tools/i18n/locale/zh_CN.json
+++ b/tools/i18n/locale/zh_CN.json
@@ -39,6 +39,9 @@
   "参数会影响音频多样性和生成速度详见": "参数会影响音频多样性和生成速度详见",
   "是否进行采样": "是否进行采样",
   "生成Token最大数量，过小导致音频被截断": "生成Token最大数量，过小导致音频被截断",
+  "例如：委屈巴巴、危险在悄悄逼近": "例如：委屈巴巴、危险在悄悄逼近",
+  "与音色参考音频相同": "与音色参考音频相同",
+  "情感随机采样": "情感随机采样",
   "显示实验功能": "显示实验功能",
-  "例如：委屈巴巴、危险在悄悄逼近": "例如：委屈巴巴、危险在悄悄逼近"
+  "提示：此功能为实验版，结果尚不稳定，我们正在持续优化中。": "提示：此功能为实验版，结果尚不稳定，我们正在持续优化中。"
 }
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 9006fae..9c674a0 100644
--- a/webui.py
+++ b/webui.py
@@ -1,3 +1,4 @@
+import html
 import json
 import os
 import sys
@@ -63,19 +64,18 @@ LANGUAGES = {
     "中文": "zh_CN",
     "English": "en_US"
 }
-EMO_CHOICES = [i18n("与音色参考音频相同"),
+EMO_CHOICES_ALL = [i18n("与音色参考音频相同"),
                 i18n("使用情感参考音频"),
                 i18n("使用情感向量控制"),
                 i18n("使用情感描述文本控制")]
-EMO_CHOICES_BASE = EMO_CHOICES[:3]  # 基础选项
-EMO_CHOICES_EXPERIMENTAL = EMO_CHOICES  # 全部选项（包括文本描述）
+EMO_CHOICES_OFFICIAL = EMO_CHOICES_ALL[:-1]  # skip experimental features
 
 os.makedirs("outputs/tasks",exist_ok=True)
 os.makedirs("prompts",exist_ok=True)
 
 MAX_LENGTH_TO_USE_SPEED = 70
+example_cases = []
 with open("examples/cases.jsonl", "r", encoding="utf-8") as f:
-    example_cases = []
     for line in f:
         line = line.strip()
         if not line:
@@ -85,8 +85,9 @@ with open("examples/cases.jsonl", "r", encoding="utf-8") as f:
             emo_audio_path = os.path.join("examples",example["emo_audio"])
         else:
             emo_audio_path = None
+
         example_cases.append([os.path.join("examples", example.get("prompt_audio", "sample_prompt.wav")),
-                              EMO_CHOICES[example.get("emo_mode",0)],
+                              EMO_CHOICES_ALL[example.get("emo_mode",0)],
                               example.get("text"),
                              emo_audio_path,
                              example.get("emo_weight",1.0),
@@ -99,8 +100,14 @@ with open("examples/cases.jsonl", "r", encoding="utf-8") as f:
                              example.get("emo_vec_6",0),
                              example.get("emo_vec_7",0),
                              example.get("emo_vec_8",0),
-                             example.get("emo_text") is not None]
-                             )
+                             ])
+
+def get_example_cases(include_experimental = False):
+    if include_experimental:
+        return example_cases  # show every example
+
+    # exclude emotion control mode 3 (emotion from text description)
+    return [x for x in example_cases if x[1] != EMO_CHOICES_ALL[3]]
 
 def gen_single(emo_control_method,prompt, text,
                emo_ref_path, emo_weight,
@@ -159,6 +166,12 @@ def update_prompt_audio():
     update_button = gr.update(interactive=True)
     return update_button
 
+def create_warning_message(warning_text):
+    return gr.HTML(f"<div style=\"padding: 0.5em 0.8em; border-radius: 0.5em; background: #ffa87d; color: #000; font-weight: bold\">{html.escape(warning_text)}</div>")
+
+def create_experimental_warning_message():
+    return create_warning_message(i18n('提示：此功能为实验版，结果尚不稳定，我们正在持续优化中。'))
+
 with gr.Blocks(title="IndexTTS Demo") as demo:
     mutex = threading.Lock()
     gr.HTML('''
@@ -181,14 +194,24 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                 input_text_single = gr.TextArea(label=i18n("文本"),key="input_text_single", placeholder=i18n("请输入目标文本"), info=f"{i18n('当前模型版本')}{tts.model_version or '1.0'}")
                 gen_button = gr.Button(i18n("生成语音"), key="gen_button",interactive=True)
             output_audio = gr.Audio(label=i18n("生成结果"), visible=True,key="output_audio")
-        experimental_checkbox = gr.Checkbox(label=i18n("显示实验功能"),value=False)
+
+        experimental_checkbox = gr.Checkbox(label=i18n("显示实验功能"), value=False)
+
         with gr.Accordion(i18n("功能设置")):
             # 情感控制选项部分
             with gr.Row():
                 emo_control_method = gr.Radio(
-                    choices=EMO_CHOICES_BASE,
+                    choices=EMO_CHOICES_OFFICIAL,
                     type="index",
-                    value=EMO_CHOICES_BASE[0],label=i18n("情感控制方式"))
+                    value=EMO_CHOICES_OFFICIAL[0],label=i18n("情感控制方式"))
+                # we MUST have an extra, INVISIBLE list of *all* emotion control
+                # methods so that gr.Dataset() can fetch ALL control mode labels!
+                # otherwise, the gr.Dataset()'s experimental labels would be empty!
+                emo_control_method_all = gr.Radio(
+                    choices=EMO_CHOICES_ALL,
+                    type="index",
+                    value=EMO_CHOICES_ALL[0], label=i18n("情感控制方式"),
+                    visible=False)  # do not render
         # 情感参考音频部分
         with gr.Group(visible=False) as emotion_reference_group:
             with gr.Row():
@@ -213,13 +236,13 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                     vec8 = gr.Slider(label=i18n("平静"), minimum=0.0, maximum=1.0, value=0.0, step=0.05)
 
         with gr.Group(visible=False) as emo_text_group:
+            create_experimental_warning_message()
             with gr.Row():
                 emo_text = gr.Textbox(label=i18n("情感描述文本"),
                                       placeholder=i18n("请输入情绪描述（或留空以自动使用目标文本作为情绪描述）"),
                                       value="",
                                       info=i18n("例如：委屈巴巴、危险在悄悄逼近"))
 
-
         with gr.Row(visible=False) as emo_weight_group:
             emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.65, step=0.01)
 
@@ -261,23 +284,55 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                 # typical_sampling, typical_mass,
             ]
 
-        if len(example_cases) > 0:
-            example_table = gr.Examples(
-                examples=(
-                    example_cases[:-2]
-                    if len(example_cases) > 2
-                    else example_cases
-                ),
-                examples_per_page=20,
-                inputs=[prompt_audio,
-                        emo_control_method,
+        # we must use `gr.Dataset` to support dynamic UI rewrites, since `gr.Examples`
+        # binds tightly to UI and always restores the initial state of all components,
+        # such as the list of available choices in emo_control_method.
+        example_table = gr.Dataset(label="Examples",
+            samples_per_page=20,
+            samples=get_example_cases(include_experimental=False),
+            type="values",
+            # these components are NOT "connected". it just reads the column labels/available
+            # states from them, so we MUST link to the "all options" versions of all components,
+            # such as `emo_control_method_all` (to be able to see EXPERIMENTAL text labels)!
+            components=[prompt_audio,
+                        emo_control_method_all,  # important: support all mode labels!
                         input_text_single,
                         emo_upload,
                         emo_weight,
                         emo_text,
-                        vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8,
-                        experimental_checkbox]
-            )
+                        vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8]
+        )
+
+    def on_example_click(example):
+        print(f"Example clicked: ({len(example)} values) = {example!r}")
+        return (
+            gr.update(value=example[0]),
+            gr.update(value=example[1]),
+            gr.update(value=example[2]),
+            gr.update(value=example[3]),
+            gr.update(value=example[4]),
+            gr.update(value=example[5]),
+            gr.update(value=example[6]),
+            gr.update(value=example[7]),
+            gr.update(value=example[8]),
+            gr.update(value=example[9]),
+            gr.update(value=example[10]),
+            gr.update(value=example[11]),
+            gr.update(value=example[12]),
+            gr.update(value=example[13]),
+        )
+
+    # click() event works on both desktop and mobile UI
+    example_table.click(on_example_click,
+                        inputs=[example_table],
+                        outputs=[prompt_audio,
+                                 emo_control_method,
+                                 input_text_single,
+                                 emo_upload,
+                                 emo_weight,
+                                 emo_text,
+                                 vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8]
+    )
 
     def on_input_text_change(text, max_text_tokens_per_segment):
         if text and len(text) > 0:
@@ -328,14 +383,6 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                     gr.update(visible=False)
                     )
 
-    def on_experimental_change(is_exp):
-        # 切换情感控制选项
-        # 第三个返回值实际没有起作用
-        if is_exp:
-            return gr.update(choices=EMO_CHOICES_EXPERIMENTAL, value=EMO_CHOICES_EXPERIMENTAL[0]), gr.update(value=example_cases)
-        else:
-            return gr.update(choices=EMO_CHOICES_BASE, value=EMO_CHOICES_BASE[0]), gr.update(value=example_cases[:-2])
-
     emo_control_method.change(on_method_change,
         inputs=[emo_control_method],
         outputs=[emotion_reference_group,
@@ -345,18 +392,30 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
                  emo_weight_group]
     )
 
+    def on_experimental_change(is_experimental, current_mode_index):
+        # 切换情感控制选项
+        new_choices = EMO_CHOICES_ALL if is_experimental else EMO_CHOICES_OFFICIAL
+        # if their current mode selection doesn't exist in new choices, reset to 0.
+        # we don't verify that OLD index means the same in NEW list, since we KNOW it does.
+        new_index = current_mode_index if current_mode_index < len(new_choices) else 0
+
+        return (
+            gr.update(choices=new_choices, value=new_choices[new_index]),
+            gr.update(samples=get_example_cases(include_experimental=is_experimental)),
+        )
+
+    experimental_checkbox.change(
+        on_experimental_change,
+        inputs=[experimental_checkbox, emo_control_method],
+        outputs=[emo_control_method, example_table]
+    )
+
     input_text_single.change(
         on_input_text_change,
         inputs=[input_text_single, max_text_tokens_per_segment],
         outputs=[segments_preview]
     )
 
-    experimental_checkbox.change(
-        on_experimental_change,
-        inputs=[experimental_checkbox],
-        outputs=[emo_control_method, example_table.dataset]  # 高级参数Accordion
-    )
-
     max_text_tokens_per_segment.change(
         on_input_text_change,
         inputs=[input_text_single, max_text_tokens_per_segment],

From c24d73ea446be0ce6e8a42ff2fd4683ec5818b8f Mon Sep 17 00:00:00 2001
From: Arcitec <38923130+Arcitec@users.noreply.github.com>
Date: Wed, 17 Sep 2025 21:55:44 +0200
Subject: [PATCH 8/8] chore: Small dependency updates

---
 uv.lock | 207 ++++++++++++++++++++++++++++----------------------------
 1 file changed, 105 insertions(+), 102 deletions(-)

diff --git a/uv.lock b/uv.lock
index 7aa29e9..69583a4 100644
--- a/uv.lock
+++ b/uv.lock
@@ -760,16 +760,16 @@ wheels = [
 
 [[package]]
 name = "fastapi"
-version = "0.116.1"
+version = "0.116.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pydantic" },
     { name = "starlette" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/78/d7/6c8b3bfe33eeffa208183ec037fee0cce9f7f024089ab1c5d12ef04bd27c/fastapi-0.116.1.tar.gz", hash = "sha256:ed52cbf946abfd70c5a0dccb24673f0670deeb517a88b3544d03c2a6bf283143", size = 296485, upload-time = "2025-07-11T16:22:32.057Z" }
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