Create app.py

app.py

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+import gradio as gr
+# --- 在這裡載入 GPA 模型 ---
+# 例如: from your_gpa_module import load_model
+# model = load_model("AutoArk-AI/GPA") # 需要替換為正確的載入方式
+
+def tts_function(text): # 文字轉語音函數
+    # --- 使用模型執行 TTS ---
+    # audio_output = model.tts(text)
+    # return audio_output
+    pass # 佔位符
+
+def asr_function(audio_file): # 語音辨識函數
+    # --- 使用模型執行 ASR ---
+    # text_output = model.asr(audio_file)
+    # return text_output
+    pass # 佔位符
+
+def vc_function(source_audio, target_reference): # 聲音轉換函數 (如果支援)
+    # --- 使用模型執行 VC ---
+    # converted_audio = model.voice_conversion(source_audio, target_reference)
+    # return converted_audio
+    pass # 佔位符
+
+with gr.Blocks() as demo:
+    gr.Markdown("# GPA Model Demo")
+    gr.Markdown("Unified TTS, ASR, and Voice Conversion")
+
+    with gr.Tab("Text-to-Speech"):
+        text_input_tts = gr.Textbox(label="Enter Text")
+        tts_button = gr.Button("Generate Speech")
+        audio_output_tts = gr.Audio(label="Generated Audio", type="filepath")
+        tts_button.click(fn=tts_function, inputs=text_input_tts, outputs=audio_output_tts)
+
+    with gr.Tab("Automatic Speech Recognition"):
+        audio_input_asr = gr.Audio(type="filepath", label="Upload Audio")
+        asr_button = gr.Button("Recognize Speech")
+        text_output_asr = gr.Textbox(label="Recognized Text")
+        asr_button.click(fn=asr_function, inputs=audio_input_asr, outputs=text_output_asr)
+
+    # 如果支援，取消註釋下面的區塊
+    # with gr.Tab("Voice Conversion"):
+    #     source_audio_vc = gr.Audio(type="filepath", label="Source Audio")
+    #     target_audio_vc = gr.Audio(type="filepath", label="Target Reference Audio (Optional)")
+    #     vc_button = gr.Button("Convert Voice")
+    #     audio_output_vc = gr.Audio(label="Converted Audio", type="filepath")
+    #     vc_button.click(fn=vc_function, inputs=[source_audio_vc, target_audio_vc], outputs=audio_output_vc)
+
+# 啟動應用
+demo.launch()