update wav transfer

app.py

@@ -80,6 +80,7 @@ from datasets import load_dataset
 from transformers import pipeline
 
 import soundfile as sf
+from scipy.io import wavfile
 
 ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = ds[0]["audio"]
@@ -106,8 +107,13 @@ def text_to_speech_loc(text):
     )
     speech = pipe(text)["audio"]
     print("Type of speech: ", type(speech))
-    audio = sf.write("convert1.wav", speech, samplerate=16000)
 
+    timestr = time.strftime("%Y%m%d-%H%M%S")
+    sampling_rate = 16000
+    with open('sample-' + timestr + '.wav', 'wb') as audio:
+        wavfile.write(audio, sampling_rate, speech)
+    # audio = sf.write("convert1.wav", speech, samplerate=16000)
+    print("audio: ", audio)
     return audio
 
 print("text to speech: ", text_to_speech_loc("Good morning."))

requirements.txt

@@ -21,3 +21,4 @@ python-pptx
 datasets
 soundfile
 librosa
+scipy