fix: 修复ChatTTS API参数调用方式

server.py

@@ -185,22 +185,25 @@ async def synthesize(
         # 生成唯一文件名
         filename = f"{uuid.uuid4().hex}.wav"
         
-        # 合成参数
-        params = {
-            'temperature': temperature,
-            'top_p': top_p,
-            'top_k': top_k,
-            'spk_emb': None,  # 可选：说话人嵌入
-        }
+        # 合成参数（ChatTTS 新版本参数）
+        infer_params = {}
         
         # 合成语音
         logger.info(f"Synthesizing: {text[:50]}...")
         
-        # ChatTTS 生成
+        # ChatTTS 生成（新版本 API）
         audio_tensor = model.infer(
-            [text],
-            params=params
-        )[0]  # 返回是列表，取第一个
+            text,
+            temperature=temperature,
+            top_P=top_p,
+            top_K=top_k,
+        )
+        
+        # 返回可能是列表或tensor
+        if isinstance(audio_tensor, list):
+            audio_tensor = audio_tensor[0]
+        if isinstance(audio_tensor, tuple):
+            audio_tensor = audio_tensor[0]
         
         # 保存音频
         filepath = save_audio(audio_tensor, filename)
@@ -235,14 +238,15 @@ async def synthesize_batch(requests: list[SynthesizeRequest]):
         texts = [r.text for r in requests]
         
         # 统一参数
-        params = {
-            'temperature': requests[0].temperature,
-            'top_p': requests[0].top_p,
-            'top_k': requests[0].top_k,
-        }
+        infer_params = {}
         
         # 批量生成
-        audio_tensors = model.infer(texts, params=params)
+        audio_tensors = model.infer(
+            texts,
+            temperature=requests[0].temperature,
+            top_P=requests[0].top_p,
+            top_K=requests[0].top_k,
+        )
         
         results = []
         for i, audio_tensor in enumerate(audio_tensors):
@@ -337,6 +341,19 @@ async def synthesize_with_emotion(
         raise HTTPException(status_code=500, detail=str(e))
 
 
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=PORT)  audio_url=f"/audio/{filename}",
+            duration=round(duration, 2),
+            text=text,
+            timestamp=datetime.now().isoformat()
+        )
+        
+    except Exception as e:
+        logger.error(f"Emotion synthesis error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
 if __name__ == "__main__":
     import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=PORT)