Update pipeline.py

pipeline.py

@@ -50,7 +50,7 @@ class PreTrainedPipeline():
         # For instance your model, processors, tokenizer that might be needed.
         # This function is only called once, so do all the heavy processing I/O here"""
         self.sampling_rate = 16000
-        assert 1==0, "Init"
+        
         
         self.processor = Wav2Vec2Processor.from_pretrained(path)
         self.model = Wav2Vec2ForCTC.from_pretrained(path)
@@ -69,7 +69,7 @@ class PreTrainedPipeline():
         """
         # IMPLEMENT_THIS
         input_values = self.processor(audio=inputs, sampling_rate=self.sampling_rate, return_tensors="pt").input_values
-        
+        assert 1==0, "Call"
         if torch.cuda.is_available():
             self.model.to("cuda")
             input_values = input_values.to("cuda")