Update app.py

app.py

@@ -3,7 +3,6 @@ import requests
 import soundfile as sf
 import numpy as np
 import tempfile
-#lets work it out
 
 # Define the Hugging Face Inference API URLs and headers
 ASR_API_URL = "https://api-inference.huggingface.co/models/Baghdad99/saad-speech-recognition-hausa-audio-to-text"
@@ -20,6 +19,8 @@ def query(api_url, payload):
 def translate_speech(audio):
     # audio is a tuple (np.ndarray, int), we need to save it as a file
     audio_data, sample_rate = audio
+    if len(audio_data.shape) == 1:  # if audio_data is 1D, reshape it to 2D
+        audio_data = np.reshape(audio_data, (-1, 1))
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
         sf.write(f, audio_data, sample_rate)
         audio_file = f.name