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README.md

@@ -1,12 +1,5 @@
----
-title: Cv2026
-emoji: 👀
-colorFrom: green
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.32.0
-app_file: app.py
-pinned: false
----
+# CosyVoice2 中文语音合成 Demo
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+这是使用 Hugging Face 上的 FunAudioLLM/CosyVoice2-0.5B 模型构建的语音合成演示空间。你可以输入任意中文文本，在线生成高质量语音。
+
+模型地址：https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B

app.py

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+import gradio as gr
+from transformers import AutoProcessor, AutoModelForSpeechT5
+import torch
+import scipy.io.wavfile
+import tempfile
+
+# 加载模型和处理器
+processor = AutoProcessor.from_pretrained("FunAudioLLM/CosyVoice2-0.5B")
+model = AutoModelForSpeechT5.from_pretrained("FunAudioLLM/CosyVoice2-0.5B")
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = model.to(device)
+
+# 合成语音的函数
+def tts_fn(text):
+    inputs = processor(text, return_tensors="pt").to(device)
+    with torch.no_grad():
+        speech = model.generate(**inputs)
+    speech = speech.cpu().numpy()
+
+    # 保存为临时 wav 文件
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
+        scipy.io.wavfile.write(f.name, rate=16000, data=speech)
+        return f.name
+
+# Gradio 界面
+demo = gr.Interface(
+    fn=tts_fn,
+    inputs=gr.Textbox(label="请输入中文文本", placeholder="例如：你好，这是 CosyVoice2 的语音演示"),
+    outputs=gr.Audio(label="合成语音"),
+    title="CosyVoice2 中文语音合成演示"
+)
+
+demo.launch()

requirements.txt

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+transformers
+torch
+scipy
+gradio