fix: EndpointHandler 的 init 方法参数不正确

handler.py

@@ -1,6 +1,7 @@
 import json
 from typing import Dict
 
+import torch
 from faster_whisper import WhisperModel
 from transformers.pipelines.audio_utils import ffmpeg_read
 
@@ -8,7 +9,7 @@ SAMPLE_RATE = 16000
 
 
 class EndpointHandler():
-    def __init__(self):
+    def __init__(self, path=""):
         # load the model
         self.model = WhisperModel("distil-large-v3", device="cuda", compute_type="float16")
 
@@ -23,6 +24,8 @@ class EndpointHandler():
         # process input
         inputs = data.pop("inputs", data)
         audio_nparray = ffmpeg_read(inputs, SAMPLE_RATE)
+        audio_tensor = torch.from_numpy(audio_nparray)
+
         segments, info = self.model.transcribe(audio_nparray, beam_size=5,
                                                language="en",
                                                condition_on_previous_text=False,