1st

app.py

@@ -0,0 +1,219 @@
+import io
+import os
+from pathlib import Path
+from tempfile import NamedTemporaryFile
+import time
+import gradio as gr
+from openai import OpenAI
+
+# 標準音頻模型和聲音選項
+STANDARD_AUDIO_MODELS = [
+    "tts-1",
+    "tts-1-hd",
+]
+
+STANDARD_VOICES = [
+    "alloy",
+    "echo",
+    "fable",
+    "onyx",
+    "nova",
+    "shimmer",
+]
+
+def get_mp3(text: str, voice: str, audio_model: str, audio_api_key: str) -> bytes:
+    """
+    使用 OpenAI TTS API 生成音頻
+    """
+    client = OpenAI(api_key=audio_api_key)
+    
+    try:
+        with client.audio.speech.with_streaming_response.create(
+            model=audio_model,
+            voice=voice,
+            input=text,
+        ) as response:
+            with io.BytesIO() as file:
+                for chunk in response.iter_bytes():
+                    file.write(chunk)
+                return file.getvalue()
+    except Exception as e:
+        print(f"Error generating audio: {e}")
+        raise
+
+def generate_audio_from_script(
+    script: str,
+    audio_api_key: str,
+    audio_model: str = "tts-1",
+    speaker1_voice: str = "onyx",
+    speaker2_voice: str = "nova",
+) -> tuple[bytes, str]:
+    """
+    從腳本生成音頻，支援兩個說話者
+    """
+    combined_audio = b""
+    status_log = []
+    
+    # 處理每一行
+    for line in script.splitlines():
+        line = line.strip()
+        if not line:
+            continue
+        
+        # 預設使用 speaker 1
+        voice_to_use = speaker1_voice
+        text_to_speak = line
+        
+        # 檢查說話者標記
+        if line.lower().startswith("speaker-1:"):
+            voice_to_use = speaker1_voice
+            text_to_speak = line.split(":", 1)[1].strip()
+            status_log.append(f"[說話者1] {text_to_speak}")
+        elif line.lower().startswith("speaker-2:"):
+            voice_to_use = speaker2_voice
+            text_to_speak = line.split(":", 1)[1].strip()
+            status_log.append(f"[說話者2] {text_to_speak}")
+        else:
+            # 如果沒有說話者標記，使用說話者1
+            status_log.append(f"[說話者1] {text_to_speak}")
+        
+        try:
+            # 生成這一行的音頻
+            audio_chunk = get_mp3(
+                text_to_speak,
+                voice_to_use,
+                audio_model,
+                audio_api_key
+            )
+            combined_audio += audio_chunk
+            
+        except Exception as e:
+            status_log.append(f"[錯誤] 無法生成音頻: {str(e)}")
+    
+    return combined_audio, "\n".join(status_log)
+
+def save_audio_file(audio_data: bytes) -> str:
+    """
+    將音頻數據保存為臨時檔案
+    """
+    temp_dir = Path("./temp_audio")
+    temp_dir.mkdir(exist_ok=True)
+    
+    # 清理舊檔案
+    for old_file in temp_dir.glob("*.mp3"):
+        if old_file.stat().st_mtime < (time.time() - 24*60*60):  # 24小時前的檔案
+            old_file.unlink()
+    
+    # 創建新的臨時檔案
+    temp_file = NamedTemporaryFile(
+        dir=temp_dir,
+        delete=False,
+        suffix=".mp3"
+    )
+    
+    temp_file.write(audio_data)
+    temp_file.close()
+    
+    return temp_file.name
+
+# Gradio 介面
+def create_gradio_interface():
+    with gr.Blocks(title="TTS Generator", css="""
+        #header { text-align: center; margin-bottom: 20px; }
+    """) as demo:
+        gr.Markdown("# 語音合成器 | TTS Generator", elem_id="header")
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                # 輸入區
+                script_input = gr.Textbox(
+                    label="輸入腳本 | Input Script",
+                    placeholder="""請貼上腳本內容，格式如下：
+
+speaker-1: 歡迎來到 David888 Podcast，我是 David...
+speaker-2: 大家好，我是 Cordelia...
+
+沒有標記說話者的行會預設使用說話者1的聲音。""",
+                    lines=20
+                )
+                
+                api_key = gr.Textbox(
+                    label="OpenAI API Key",
+                    type="password"
+                )
+                
+                with gr.Row():
+                    audio_model = gr.Dropdown(
+                        label="音頻模型 | Audio Model",
+                        choices=STANDARD_AUDIO_MODELS,
+                        value="tts-1"
+                    )
+                    
+                    speaker1_voice = gr.Dropdown(
+                        label="說話者1聲音 | Speaker 1 Voice",
+                        choices=STANDARD_VOICES,
+                        value="onyx"
+                    )
+                    
+                    speaker2_voice = gr.Dropdown(
+                        label="說話者2聲音 | Speaker 2 Voice",
+                        choices=STANDARD_VOICES,
+                        value="nova"
+                    )
+                
+                generate_button = gr.Button("生成音頻 | Generate Audio")
+            
+            with gr.Column(scale=1):
+                # 輸出區
+                audio_output = gr.Audio(
+                    label="生成的音頻 | Generated Audio",
+                    type="filepath"
+                )
+                
+                status_output = gr.Textbox(
+                    label="生成狀態 | Generation Status",
+                    lines=20,
+                    show_copy_button=True
+                )
+        
+        # 事件處理
+        generate_button.click(
+            fn=lambda script, key, model, v1, v2: process_and_save_audio(
+                script, key, model, v1, v2
+            ),
+            inputs=[
+                script_input,
+                api_key,
+                audio_model,
+                speaker1_voice,
+                speaker2_voice
+            ],
+            outputs=[audio_output, status_output]
+        )
+    
+    return demo
+
+def process_and_save_audio(script, api_key, model, voice1, voice2):
+    """
+    處理音頻生成並保存檔案
+    """
+    try:
+        audio_data, status_log = generate_audio_from_script(
+            script,
+            api_key,
+            model,
+            voice1,
+            voice2
+        )
+        
+        audio_path = save_audio_file(audio_data)
+        return audio_path, status_log
+    
+    except Exception as e:
+        error_message = f"生成音頻時發生錯誤: {str(e)}"
+        print(error_message)
+        return None, error_message
+
+if __name__ == "__main__":
+    demo = create_gradio_interface()
+    demo.launch()

requirements.txt

@@ -0,0 +1,9 @@
+gradio
+pandas
+openai
+loguru
+promptic
+tenacity
+PyMuPDF
+ebooklib 
+bs4