Update app.py

app.py

@@ -433,9 +433,9 @@ def vc_infer(output_format, sid, input_audio, sr, input_audio_path, vc_transform
         input_audio = librosa.to_mono(input_audio.transpose(1, 0))
     if sr != 44100:
         input_audio = librosa.resample(input_audio, orig_sr=sr, target_sr=44100)
-    sf.write("temp.wav", input_audio, 44100, format="wav")
+    sf.write("/tmp/temp.wav", input_audio, 44100, format="wav")
     _audio = model.slice_inference(
-        "temp.wav",
+        "/tmp/temp.wav",
         sid,
         vc_transform,
         slice_db,
@@ -489,7 +489,7 @@ def vc_fn(output_format, sid, input_audio, vc_transform, auto_f0, cluster_ratio,
                 return "你还未加载聚类或特征检索模型，无法启用聚类/特征检索混合比例", None
         audio, sr = sf.read(input_audio)
         output_file_path = vc_infer(output_format, sid, audio, sr, input_audio, vc_transform, auto_f0, cluster_ratio, slice_db, noise_scale, pad_seconds, cl_num, lg_num, lgr_num, f0_predictor, enhancer_adaptive_key, cr_threshold, k_step, use_spk_mix, second_encoding, loudness_envelope_adjustment)
-        os.remove("temp.wav")
+        os.remove("/tmp/temp.wav")
         return "Success", output_file_path
     except Exception as e:
         if debug: