Update emotion_recognition_pipeline.py

emotion_recognition_pipeline.py

@@ -21,8 +21,7 @@ class SpeechEmotionRecognitionPipeline(AudioClassificationPipeline):
             if inputs.startswith("http://") or inputs.startswith("https://"):
                 inputs = BytesIO(requests.get(inputs).content)
             else:
-                with open(inputs, "rb") as f:
-                    inputs = f.read()
+                inputs = open(inputs, "rb")
 
         speech, sr = librosa.load(inputs, sr=sampling_rate)
         features = processor(speech, sampling_rate=sampling_rate, return_tensors="pt", padding=True)