Update webui.py

webui.py

@@ -1,3 +1,99 @@
+
+'''
+pip install protobuf==3.20.0
+pip uninstall torch torchvision torchaudio
+pip install -U torch torchvision torchaudio
+
+'''
+
+'''
+import os
+from gradio_client import Client, handle_file
+from shutil import copy2
+
+# 初始化Gradio客户端
+client = Client("http://localhost:7860/")
+
+# 请替换为您准备好的参考音频文件路径
+reference_audio = '马正阳英文念白_vocals.wav' 
+
+# 莎士比亚名言列表（英文原文），这里只是示例，您可以自行增删
+shakespeare_quotes = [
+    "To be, or not to be: that is the question.",
+    "All the world's a stage, and all the men and women merely players.",
+    "There is nothing either good or bad, but thinking makes it so.",
+    "The course of true love never did run smooth.",
+    "Love is blind and lovers cannot see the pretty follies that themselves commit.",
+    "All that glisters is not gold.",
+    "Brevity is the soul of wit.",
+    "What's in a name? That which we call a rose by any other word would smell as sweet.",
+    "Sweet are the uses of adversity.",
+    "Cowards die many times before their deaths; The valiant never taste of death but once."
+]
+
+# 输出目录，确保此目录存在
+output_dir = 'MaZhengYang_IndexTTS2_Shakespeare_Audio'
+os.makedirs(output_dir, exist_ok=True)
+
+for index, quote_text in enumerate(shakespeare_quotes):
+    try:
+        print(f"Processing {index+1}/{len(shakespeare_quotes)}: {quote_text[:50]}...")
+
+        # 调用Gradio API进行语音合成
+        result = client.predict(
+            emo_control_method="Same as the voice reference",
+            prompt=handle_file(reference_audio), # 使用您提供的参考音频
+            text=quote_text, # 填入当前要合成的名言英文原文
+            emo_ref_path=None,
+            emo_weight=0.8,
+            vec1=0,
+            vec2=0,
+            vec3=0,
+            vec4=0,
+            vec5=0,
+            vec6=0,
+            vec7=0,
+            vec8=0,
+            emo_text="",
+            emo_random=False,
+            max_text_tokens_per_sentence=120,
+            param_16=True,
+            param_17=0.8,
+            param_18=30,
+            param_19=0.8,
+            param_20=0,
+            param_21=3,
+            param_22=10,
+            param_23=1500,
+            api_name="/gen_single"
+        )
+
+        # 假设返回的result是一个字典，且音频文件路径在result["value"]中
+        generated_audio_path = result["value"]
+        
+        # 生成序列号，例如 000001, 000002, ...
+        sequence_number = str(index + 1).zfill(6)
+        new_audio_filename = f"{sequence_number}.wav"
+        new_audio_path = os.path.join(output_dir, new_audio_filename)
+
+        # 复制并重命名音频文件
+        copy2(generated_audio_path, new_audio_path)
+        print(f"Audio saved to: {new_audio_path}")
+
+        # 创建同名的.txt文件并写入英文名言
+        txt_filename = f"{sequence_number}.txt"
+        txt_path = os.path.join(output_dir, txt_filename)
+        with open(txt_path, 'w', encoding='utf-8') as f:
+            f.write(quote_text)
+        print(f"Text file saved to: {txt_path}")
+
+    except Exception as e:
+        print(f"Error processing quote '{quote_text}': {e}")
+
+print("All processing completed!")
+
+'''
+
 import json
 import logging
 import spaces
@@ -326,4 +422,4 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
 
 if __name__ == "__main__":
     demo.queue(20)
-    demo.launch(server_name=cmd_args.host, server_port=cmd_args.port)
+    demo.launch(server_name="0.0.0.0", server_port=7860, share = True)