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Runtime error
Runtime error
Fix the language list
Browse files- app.py +31 -16
- lang_list.py +115 -197
app.py
CHANGED
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@@ -7,15 +7,15 @@ import torchaudio
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from seamless_communication.models.inference.translator import Translator
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from lang_list import (
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-
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-
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-
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)
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DESCRIPTION = "# SeamlessM4T"
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-
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TASK_NAMES = [
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"S2ST (Speech to Speech translation)",
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"S2TT (Speech to Text translation)",
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@@ -27,6 +27,8 @@ TASK_NAMES = [
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AUDIO_SAMPLE_RATE = 16000.0
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MAX_INPUT_AUDIO_LENGTH = 60 # in seconds
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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translator = Translator(
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model_name_or_card="multitask_unity_large",
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@@ -46,6 +48,9 @@ def predict(
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target_language: str,
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) -> tuple[tuple[int, np.ndarray] | None, str]:
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task_name = task_name.split()[0]
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if task_name in ["S2ST", "S2TT", "ASR"]:
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if audio_source == "microphone":
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input_data = input_audio_mic
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@@ -64,8 +69,8 @@ def predict(
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text_out, wav, sr = translator.predict(
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input=input_data,
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task_str=task_name,
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-
tgt_lang=
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-
src_lang=
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)
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if task_name in ["S2ST", "T2ST"]:
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return (sr, wav.cpu().detach().numpy()), text_out
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@@ -88,35 +93,45 @@ def update_input_ui(task_name: str) -> tuple[dict, dict, dict, dict]:
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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)
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elif task_name == "S2TT":
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return (
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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)
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elif task_name == "T2ST":
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return (
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gr.update(visible=False), # audio_box
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gr.update(visible=True), # input_text
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gr.update(visible=True), # source_language
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gr.update(
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)
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elif task_name == "T2TT":
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return (
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gr.update(visible=False), # audio_box
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gr.update(visible=True), # input_text
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gr.update(visible=True), # source_language
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gr.update(
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)
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elif task_name == "ASR":
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return (
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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)
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else:
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raise ValueError(f"Unknown task: {task_name}")
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@@ -154,14 +169,14 @@ with gr.Blocks(css="style.css") as demo:
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with gr.Row():
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source_language = gr.Dropdown(
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label="Source language",
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choices=
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value="
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visible=False,
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)
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target_language = gr.Dropdown(
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label="Target language",
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choices=
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value=
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)
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with gr.Row() as audio_box:
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audio_source = gr.Radio(
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from seamless_communication.models.inference.translator import Translator
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from lang_list import (
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+
LANGUAGE_NAME_TO_CODE,
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S2ST_TARGET_LANGUAGE_NAMES,
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+
S2TT_TARGET_LANGUAGE_NAMES,
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+
T2TT_TARGET_LANGUAGE_NAMES,
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+
TEXT_SOURCE_LANGUAGE_NAMES,
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)
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DESCRIPTION = "# SeamlessM4T"
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TASK_NAMES = [
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"S2ST (Speech to Speech translation)",
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"S2TT (Speech to Text translation)",
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AUDIO_SAMPLE_RATE = 16000.0
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MAX_INPUT_AUDIO_LENGTH = 60 # in seconds
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DEFAULT_TARGET_LANGUAGE = "French"
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+
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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translator = Translator(
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model_name_or_card="multitask_unity_large",
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target_language: str,
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) -> tuple[tuple[int, np.ndarray] | None, str]:
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task_name = task_name.split()[0]
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source_language_code = LANGUAGE_NAME_TO_CODE[source_language]
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target_language_code = LANGUAGE_NAME_TO_CODE[target_language]
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+
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if task_name in ["S2ST", "S2TT", "ASR"]:
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if audio_source == "microphone":
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input_data = input_audio_mic
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text_out, wav, sr = translator.predict(
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input=input_data,
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task_str=task_name,
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tgt_lang=target_language_code,
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src_lang=source_language_code,
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)
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if task_name in ["S2ST", "T2ST"]:
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return (sr, wav.cpu().detach().numpy()), text_out
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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visible=True, choices=S2ST_TARGET_LANGUAGE_NAMES, value=DEFAULT_TARGET_LANGUAGE
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), # target_language
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)
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elif task_name == "S2TT":
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return (
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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visible=True, choices=S2TT_TARGET_LANGUAGE_NAMES, value=DEFAULT_TARGET_LANGUAGE
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), # target_language
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)
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elif task_name == "T2ST":
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return (
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gr.update(visible=False), # audio_box
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gr.update(visible=True), # input_text
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gr.update(visible=True), # source_language
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gr.update(
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visible=True, choices=S2ST_TARGET_LANGUAGE_NAMES, value=DEFAULT_TARGET_LANGUAGE
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), # target_language
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)
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elif task_name == "T2TT":
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return (
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gr.update(visible=False), # audio_box
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gr.update(visible=True), # input_text
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gr.update(visible=True), # source_language
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gr.update(
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visible=True, choices=T2TT_TARGET_LANGUAGE_NAMES, value=DEFAULT_TARGET_LANGUAGE
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), # target_language
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)
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elif task_name == "ASR":
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return (
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gr.update(visible=True), # audio_box
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gr.update(visible=False), # input_text
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gr.update(visible=False), # source_language
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gr.update(
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visible=True, choices=S2TT_TARGET_LANGUAGE_NAMES, value=DEFAULT_TARGET_LANGUAGE
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), # target_language
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)
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else:
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raise ValueError(f"Unknown task: {task_name}")
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with gr.Row():
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source_language = gr.Dropdown(
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label="Source language",
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choices=TEXT_SOURCE_LANGUAGE_NAMES,
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value="English",
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visible=False,
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)
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target_language = gr.Dropdown(
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label="Target language",
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choices=S2ST_TARGET_LANGUAGE_NAMES,
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value=DEFAULT_TARGET_LANGUAGE,
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)
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with gr.Row() as audio_box:
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audio_source = gr.Radio(
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lang_list.py
CHANGED
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@@ -1,6 +1,113 @@
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# Source langs: S2ST / S2TT / ASR don't need source lang
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# T2TT / T2ST use this
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-
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"afr",
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"amh",
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"arb",
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@@ -17,7 +124,6 @@ TEXT_SOURCE_LANGUAGES = [
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"ces",
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"ckb",
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"cmn",
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"zho_Hant",
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"cym",
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"dan",
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"deu",
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@@ -27,7 +133,6 @@ TEXT_SOURCE_LANGUAGES = [
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"eus",
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"fin",
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"fra",
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"fuv",
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"gaz",
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"gle",
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"glg",
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@@ -75,7 +180,6 @@ TEXT_SOURCE_LANGUAGES = [
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"por",
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"ron",
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"rus",
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"sat",
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"slk",
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"slv",
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"sna",
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@@ -100,10 +204,11 @@ TEXT_SOURCE_LANGUAGES = [
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"zsm",
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"zul",
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]
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# Target langs:
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# S2ST / T2ST
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"eng",
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"arb",
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"ben",
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"swe",
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"swh",
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"tel",
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"tgl/fil",
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"tha",
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"tur",
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"ukr",
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"urd",
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"uzn",
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"vie",
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]
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# S2TT / ASR
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S2TT_TARGET_LANGUAGES = [
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"amh",
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"arb",
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"asm",
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"azj",
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"bel",
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"ben",
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"bos",
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"bul",
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"cat",
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"ceb",
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"ces",
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"ckb",
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"cmn",
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"cym",
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"dan",
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"deu",
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"ell",
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"eng",
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"est",
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"fin",
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"fra",
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"ful",
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"gaz",
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"gle",
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"glg",
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"guj",
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"heb",
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"hin",
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"hrv",
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"hun",
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"hye",
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"ibo",
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"ind",
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"isl",
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"ita",
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"jav",
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"jpn",
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"kan",
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"kat",
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"kaz",
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"khk",
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"khm",
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"kir",
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"kor",
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"lao",
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"lit",
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"lug",
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"luo",
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"lvs",
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"mal",
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"mar",
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"mkd",
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"mlt",
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"mya",
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"nld",
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"nob",
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"npi",
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"nya",
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"ory",
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"pan",
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"pbt",
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"pes",
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"pol",
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"por",
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"ron",
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"rus",
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"slk",
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"slv",
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"sna",
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"snd",
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"som",
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"spa",
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"srp",
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"swe",
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"swh",
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"tam",
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"tel",
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"tgk",
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"tgl",
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"tha",
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"tur",
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@@ -228,109 +245,10 @@ S2TT_TARGET_LANGUAGES = [
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"urd",
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"uzn",
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"vie",
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"yor",
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"yue",
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"zlm",
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"zul",
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]
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# T2TT
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-
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"afr",
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"amh",
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"arb",
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"ary",
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"arz",
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"asm",
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"azj",
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"bel",
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"ben",
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"bos",
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"bul",
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"cat",
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"ceb",
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"ces",
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"ckb",
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"cmn",
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"cym",
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"dan",
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"deu",
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"ell",
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-
"eng",
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"est",
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"eus",
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"fin",
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"fra",
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"fuv",
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"gaz",
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"gle",
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"glg",
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"guj",
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"heb",
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"hin",
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"hrv",
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"hun",
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"hye",
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"ibo",
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"ind",
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-
"isl",
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"ita",
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"jav",
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-
"jpn",
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"kan",
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"kat",
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-
"kaz",
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"khk",
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"khm",
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"kir",
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-
"kor",
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"lao",
|
| 287 |
-
"lit",
|
| 288 |
-
"lug",
|
| 289 |
-
"luo",
|
| 290 |
-
"lvs",
|
| 291 |
-
"mai",
|
| 292 |
-
"mal",
|
| 293 |
-
"mar",
|
| 294 |
-
"mkd",
|
| 295 |
-
"mlt",
|
| 296 |
-
"mni",
|
| 297 |
-
"mya",
|
| 298 |
-
"nld",
|
| 299 |
-
"nno",
|
| 300 |
-
"nob",
|
| 301 |
-
"npi",
|
| 302 |
-
"nya",
|
| 303 |
-
"ory",
|
| 304 |
-
"pan",
|
| 305 |
-
"pbt",
|
| 306 |
-
"pes",
|
| 307 |
-
"pol",
|
| 308 |
-
"por",
|
| 309 |
-
"ron",
|
| 310 |
-
"rus",
|
| 311 |
-
"sat",
|
| 312 |
-
"slk",
|
| 313 |
-
"slv",
|
| 314 |
-
"sna",
|
| 315 |
-
"snd",
|
| 316 |
-
"som",
|
| 317 |
-
"spa",
|
| 318 |
-
"srp",
|
| 319 |
-
"swe",
|
| 320 |
-
"swh",
|
| 321 |
-
"tam",
|
| 322 |
-
"tel",
|
| 323 |
-
"tgk",
|
| 324 |
-
"tgl",
|
| 325 |
-
"tha",
|
| 326 |
-
"tur",
|
| 327 |
-
"ukr",
|
| 328 |
-
"urd",
|
| 329 |
-
"uzn",
|
| 330 |
-
"vie",
|
| 331 |
-
"yor",
|
| 332 |
-
"yue",
|
| 333 |
-
"zho_Hant",
|
| 334 |
-
"zsm",
|
| 335 |
-
"zul",
|
| 336 |
-
]
|
|
|
|
| 1 |
+
# Language dict
|
| 2 |
+
language_code_to_name = {
|
| 3 |
+
"afr": "Afrikaans",
|
| 4 |
+
"amh": "Amharic",
|
| 5 |
+
"arb": "Modern Standard Arabic",
|
| 6 |
+
"ary": "Moroccan Arabic",
|
| 7 |
+
"arz": "Egyptian Arabic",
|
| 8 |
+
"asm": "Assamese",
|
| 9 |
+
"ast": "Asturian",
|
| 10 |
+
"azj": "North Azerbaijani",
|
| 11 |
+
"bel": "Belarusian",
|
| 12 |
+
"ben": "Bengali",
|
| 13 |
+
"bos": "Bosnian",
|
| 14 |
+
"bul": "Bulgarian",
|
| 15 |
+
"cat": "Catalan",
|
| 16 |
+
"ceb": "Cebuano",
|
| 17 |
+
"ces": "Czech",
|
| 18 |
+
"ckb": "Central Kurdish",
|
| 19 |
+
"cmn": "Mandarin Chinese",
|
| 20 |
+
"cym": "Welsh",
|
| 21 |
+
"dan": "Danish",
|
| 22 |
+
"deu": "German",
|
| 23 |
+
"ell": "Greek",
|
| 24 |
+
"eng": "English",
|
| 25 |
+
"est": "Estonian",
|
| 26 |
+
"eus": "Basque",
|
| 27 |
+
"fin": "Finnish",
|
| 28 |
+
"fra": "French",
|
| 29 |
+
"gaz": "West Central Oromo",
|
| 30 |
+
"gle": "Irish",
|
| 31 |
+
"glg": "Galician",
|
| 32 |
+
"guj": "Gujarati",
|
| 33 |
+
"heb": "Hebrew",
|
| 34 |
+
"hin": "Hindi",
|
| 35 |
+
"hrv": "Croatian",
|
| 36 |
+
"hun": "Hungarian",
|
| 37 |
+
"hye": "Armenian",
|
| 38 |
+
"ibo": "Igbo",
|
| 39 |
+
"ind": "Indonesian",
|
| 40 |
+
"isl": "Icelandic",
|
| 41 |
+
"ita": "Italian",
|
| 42 |
+
"jav": "Javanese",
|
| 43 |
+
"jpn": "Japanese",
|
| 44 |
+
"kam": "Kamba",
|
| 45 |
+
"kan": "Kannada",
|
| 46 |
+
"kat": "Georgian",
|
| 47 |
+
"kaz": "Kazakh",
|
| 48 |
+
"kea": "Kabuverdianu",
|
| 49 |
+
"khk": "Halh Mongolian",
|
| 50 |
+
"khm": "Khmer",
|
| 51 |
+
"kir": "Kyrgyz",
|
| 52 |
+
"kor": "Korean",
|
| 53 |
+
"lao": "Lao",
|
| 54 |
+
"lit": "Lithuanian",
|
| 55 |
+
"ltz": "Luxembourgish",
|
| 56 |
+
"lug": "Ganda",
|
| 57 |
+
"luo": "Luo",
|
| 58 |
+
"lvs": "Standard Latvian",
|
| 59 |
+
"mai": "Maithili",
|
| 60 |
+
"mal": "Malayalam",
|
| 61 |
+
"mar": "Marathi",
|
| 62 |
+
"mkd": "Macedonian",
|
| 63 |
+
"mlt": "Maltese",
|
| 64 |
+
"mni": "Meitei",
|
| 65 |
+
"mya": "Burmese",
|
| 66 |
+
"nld": "Dutch",
|
| 67 |
+
"nno": "Norwegian Nynorsk",
|
| 68 |
+
"nob": "Norwegian Bokm\u00e5l",
|
| 69 |
+
"npi": "Nepali",
|
| 70 |
+
"nya": "Nyanja",
|
| 71 |
+
"oci": "Occitan",
|
| 72 |
+
"ory": "Odia",
|
| 73 |
+
"pan": "Punjabi",
|
| 74 |
+
"pbt": "Southern Pashto",
|
| 75 |
+
"pes": "Western Persian",
|
| 76 |
+
"pol": "Polish",
|
| 77 |
+
"por": "Portuguese",
|
| 78 |
+
"ron": "Romanian",
|
| 79 |
+
"rus": "Russian",
|
| 80 |
+
"slk": "Slovak",
|
| 81 |
+
"slv": "Slovenian",
|
| 82 |
+
"sna": "Shona",
|
| 83 |
+
"snd": "Sindhi",
|
| 84 |
+
"som": "Somali",
|
| 85 |
+
"spa": "Spanish",
|
| 86 |
+
"srp": "Serbian",
|
| 87 |
+
"swe": "Swedish",
|
| 88 |
+
"swh": "Swahili",
|
| 89 |
+
"tam": "Tamil",
|
| 90 |
+
"tel": "Telugu",
|
| 91 |
+
"tgk": "Tajik",
|
| 92 |
+
"tgl": "Tagalog",
|
| 93 |
+
"tha": "Thai",
|
| 94 |
+
"tur": "Turkish",
|
| 95 |
+
"ukr": "Ukrainian",
|
| 96 |
+
"urd": "Urdu",
|
| 97 |
+
"uzn": "Northern Uzbek",
|
| 98 |
+
"vie": "Vietnamese",
|
| 99 |
+
"xho": "Xhosa",
|
| 100 |
+
"yor": "Yoruba",
|
| 101 |
+
"yue": "Cantonese",
|
| 102 |
+
"zlm": "Colloquial Malay",
|
| 103 |
+
"zsm": "Standard Malay",
|
| 104 |
+
"zul": "Zulu",
|
| 105 |
+
}
|
| 106 |
+
LANGUAGE_NAME_TO_CODE = {v: k for k, v in language_code_to_name.items()}
|
| 107 |
+
|
| 108 |
# Source langs: S2ST / S2TT / ASR don't need source lang
|
| 109 |
# T2TT / T2ST use this
|
| 110 |
+
text_source_language_codes = [
|
| 111 |
"afr",
|
| 112 |
"amh",
|
| 113 |
"arb",
|
|
|
|
| 124 |
"ces",
|
| 125 |
"ckb",
|
| 126 |
"cmn",
|
|
|
|
| 127 |
"cym",
|
| 128 |
"dan",
|
| 129 |
"deu",
|
|
|
|
| 133 |
"eus",
|
| 134 |
"fin",
|
| 135 |
"fra",
|
|
|
|
| 136 |
"gaz",
|
| 137 |
"gle",
|
| 138 |
"glg",
|
|
|
|
| 180 |
"por",
|
| 181 |
"ron",
|
| 182 |
"rus",
|
|
|
|
| 183 |
"slk",
|
| 184 |
"slv",
|
| 185 |
"sna",
|
|
|
|
| 204 |
"zsm",
|
| 205 |
"zul",
|
| 206 |
]
|
| 207 |
+
TEXT_SOURCE_LANGUAGE_NAMES = sorted([language_code_to_name[code] for code in text_source_language_codes])
|
| 208 |
|
| 209 |
# Target langs:
|
| 210 |
# S2ST / T2ST
|
| 211 |
+
s2st_target_language_codes = [
|
| 212 |
"eng",
|
| 213 |
"arb",
|
| 214 |
"ben",
|
|
|
|
| 238 |
"swe",
|
| 239 |
"swh",
|
| 240 |
"tel",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 241 |
"tgl",
|
| 242 |
"tha",
|
| 243 |
"tur",
|
|
|
|
| 245 |
"urd",
|
| 246 |
"uzn",
|
| 247 |
"vie",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 248 |
]
|
| 249 |
+
S2ST_TARGET_LANGUAGE_NAMES = sorted([language_code_to_name[code] for code in s2st_target_language_codes])
|
| 250 |
+
|
| 251 |
+
# S2TT / ASR
|
| 252 |
+
S2TT_TARGET_LANGUAGE_NAMES = TEXT_SOURCE_LANGUAGE_NAMES
|
| 253 |
# T2TT
|
| 254 |
+
T2TT_TARGET_LANGUAGE_NAMES = TEXT_SOURCE_LANGUAGE_NAMES
|
|
|
|
|
|
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