feat: add app.py

README.md

@@ -1,5 +1,5 @@
 ---
-title: Asr Kaldi
+title: ASR Kaldi
 emoji: 🐨
 colorFrom: pink
 colorTo: indigo

app.py

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+import json
+
+import gradio as gr
+from huggingface_hub import snapshot_download
+from omegaconf import OmegaConf
+from vosk import KaldiRecognizer, Model
+
+
+def load_vosk(model_id: str):
+    model_dir = snapshot_download(model_id)
+    return Model(model_path=model_dir)
+
+
+OmegaConf.register_new_resolver("load_vosk", load_vosk)
+
+models_config = OmegaConf.to_object(OmegaConf.load("configs/models.yaml"))
+
+
+def automatic_speech_recognition(model_id: str, dialect_id: str, audio_data: str):
+    model = models_config[model_id]["model"]
+
+    sample_rate, audio_array = audio_data
+    if audio_array.ndim == 2:
+        audio_array = audio_array[:, 0]
+
+    audio_bytes = audio_array.tobytes()
+
+    rec = KaldiRecognizer(model, sample_rate)
+
+    rec.SetWords(True)
+
+    results = []
+
+    for start in range(0, len(audio_bytes), 4000):
+        end = min(start + 4000, len(audio_bytes))
+        data = audio_bytes[start:end]
+        if rec.AcceptWaveform(data):
+            raw_result = json.loads(rec.Result())
+            results.append(raw_result)
+
+    final_result = json.loads(rec.FinalResult())
+    results.append(final_result)
+
+    filtered_lines = []
+
+    for result in results:
+        result["text"] = result["text"].replace(" ", "")
+        if len(result["text"]) > 0:
+            filtered_lines.append(result["text"])
+
+    return "，".join(filtered_lines) + "。"
+
+
+def when_model_selected(model_id: str):
+    model_config = models_config[model_id]
+
+    if "dialect_mapping" not in model_config:
+        return gr.update(visible=False)
+
+    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],
+        visible=True,
+    )
+
+
+demo = gr.Blocks(
+    title="康統 Kaldi 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",
+    )
+
+    gr.Markdown(
+        """
+        # 康統 Kaldi 語音辨識系統
+        """
+    )
+    gr.Interface(
+        automatic_speech_recognition,
+        inputs=[
+            model_drop_down,
+            gr.Audio(
+                label="上傳或錄音",
+                type="numpy",
+                format="wav",
+                waveform_options=gr.WaveformOptions(
+                    sample_rate=16000,
+                ),
+            ),
+        ],
+        outputs=[
+            gr.Text(interactive=False, label="文字"),
+        ],
+        allow_flagging="auto",
+    )
+
+demo.launch()

configs/models.yaml

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+htia-0.1:
+  model:
+    kenkone_evas_cs_v5: ${load_vosk:kenkone/kenkone_evas_cs_v5}
+    kenkone_evas_cs_v5_dental: ${load_vosk:kenkone/kenkone_evas_cs_v5_dental}
+    kenkone_evas_retrain_20240618: ${load_vosk:kenkone/kenkone_evas_retrain_20240618}

requirements.txt

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+vosk
+omegaconf