Update README.md

README.md

@@ -46,6 +46,7 @@ pip install optimum[openvino]
 2. Run model inference:
 
 ```
+from datasets import load_dataset
 from transformers import AutoProcessor
 from optimum.intel.openvino import OVModelForSpeechSeq2Seq
 
@@ -56,14 +57,14 @@ model = OVModelForSpeechSeq2Seq.from_pretrained(model_id)
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation", trust_remote_code=True)
 sample = dataset[0]
 
-input_features = processor(
+input_features = tokenizer(
     sample["audio"]["array"],
     sampling_rate=sample["audio"]["sampling_rate"],
     return_tensors="pt",
 ).input_features
 
 outputs = model.generate(input_features)
-text = processor.batch_decode(outputs)[0]
+text = tokenizer.batch_decode(outputs)[0]
 print(text)
 ```
 
@@ -97,7 +98,7 @@ device = "CPU"
 pipe = ov_genai.WhisperPipeline(model_path, device)
 
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation", trust_remote_code=True)
-sample = dataset[0]["audio]["array"]
+sample = dataset[0]["audio"]["array"]
 print(pipe.generate(sample))
 ```