Update custom model files, README, and requirements

asr_pipeline.py

@@ -33,12 +33,9 @@ class ASRPipeline(transformers.AutomaticSpeechRecognitionPipeline):
                 "sampling_rate": inputs.get("sampling_rate", self.feature_extractor.sampling_rate),
             }
 
-        print(f"DEBUG preprocess called, preprocess_params={preprocess_params}")
         for item in super().preprocess(inputs, **preprocess_params):
-            print(f"DEBUG item from super: {item.keys()}")
             if "is_last" not in item:
                 item["is_last"] = True
-            print(f"DEBUG yielding item with keys: {item.keys()}")
             yield item
 
     def _forward(self, model_inputs, **generate_kwargs) -> dict[str, Any]: