feat: init upload

app.py

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+import gradio as gr
+import torch
+from omegaconf import OmegaConf
+from transformers import pipeline
+
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
+torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+
+
+def load_pipe(model_id: str):
+    return pipeline(
+        "automatic-speech-recognition",
+        model=model_id,
+        max_new_tokens=128,
+        chunk_length_s=30,
+        torch_dtype=torch_dtype,
+        device=device,
+    )
+
+OmegaConf.register_new_resolver("load_pipe", load_pipe)
+
+models_config = OmegaConf.to_object(OmegaConf.load("configs/models.yaml"))
+
+def automatic_speech_recognition(model_id: str, dialect_id: str, audio_file: str):
+    model = models_config[model_id]["model"]
+    print(model)
+    generate_kwargs = {
+        "task": "transcribe",
+        "language": "Chinese",
+        "prompt_ids": torch.from_numpy(model.tokenizer.get_prompt_ids(dialect_id)).to(
+            device
+        ),
+    }
+    return model(audio_file, generate_kwargs=generate_kwargs)["text"].replace(f" {dialect_id}", "")
+
+
+def when_model_selected(model_id: str):
+    model_config = models_config[model_id]
+
+    dialect_drop_down_choices = [
+        (k, v) for k, v in model_config["dialect_mapping"].items()
+    ]
+
+    return gr.update(
+        choices=dialect_drop_down_choices,
+        value=dialect_drop_down_choices[0][1],
+    )
+
+
+demo = gr.Blocks(
+    title="臺灣客語語音辨識系統",
+    css="@import url(https://tauhu.tw/tauhu-oo.css);",
+    theme=gr.themes.Default(
+        font=(
+            "tauhu-oo",
+            gr.themes.GoogleFont("Source Sans Pro"),
+            "ui-sans-serif",
+            "system-ui",
+            "sans-serif",
+        )
+    ),
+)
+
+with demo:
+    default_model_id = list(models_config.keys())[0]
+    model_drop_down = gr.Dropdown(
+        models_config.keys(),
+        value=default_model_id,
+        label="模型",
+    )
+
+    dialect_drop_down = gr.Dropdown(
+        choices=[
+            (k, v)
+            for k, v in models_config[default_model_id]["dialect_mapping"].items()
+        ],
+        value=list(models_config[default_model_id]["dialect_mapping"].values())[0],
+        label="腔調",
+    )
+
+    model_drop_down.input(
+        when_model_selected,
+        inputs=[model_drop_down],
+        outputs=[dialect_drop_down],
+    )
+
+    gr.Markdown(
+        """
+        # 臺灣客語語音合成系統
+        ### Taiwanese Hakka Text-to-Speech System
+        ### 研發
+        - **[李鴻欣 Hung-Shin Lee](mailto:hungshinlee@gmail.com)（諾思資訊 North Co., Ltd.）**
+        - **[陳力瑋 Li-Wei Chen](mailto:wayne900619@gmail.com)（諾思資訊 North Co., Ltd.）**
+        """
+    )
+    gr.Interface(
+        automatic_speech_recognition,
+        inputs=[
+            model_drop_down,
+            dialect_drop_down,
+            gr.Audio(
+                label="上傳或錄音",
+                type="filepath",
+                waveform_options=gr.WaveformOptions(
+                    sample_rate=16000,
+                ),
+            ),
+        ],
+        outputs=[
+            gr.Text(interactive=False, label="客語漢字"),
+        ],
+        allow_flagging="auto",
+    )
+
+demo.launch()

configs/models.yaml

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+whisper-large-v3:
+  model: ${load_pipe:formospeech/whisper-large-v3-taiwanese-hakka}
+  dialect_mapping:
+    四縣: htia_sixian
+    海陸: htia_hailu
+    大埔: htia_dapu
+    饒平: htia_raoping
+    詔安: htia_zhaoan
+    南四縣: htia_nansixian

requirements.txt

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+omegaconf
+torch
+transformers