Update app.py

app.py

@@ -1,12 +1,26 @@
 import gradio as gr
-from inference import query
+from inference import *
 from script import *
+# import librosa
+import soundfile as sf
 
 
-def interface(Language, Audio):
+def preprocess_audio(audio):
+
+    try:
+        _, array = audio
+        sf.write('audio.wav', array, samplerate=48000, subtype='PCM_16')
+        # audio, sr = librosa.load('audio.wav', sr=16000)
+        return 'audio.wav'
+    except TypeError as e:
+        pass
+
+
+def interface(Language, Audio_Inp):
+    path = preprocess_audio(Audio_Inp)
 
     if Language == 'Hausa':
-        command =  query(Audio, 'ha')
+        command =  query(path, 'ha')
         state = activate_hausa(command)
         return state
    
@@ -14,9 +28,9 @@ def interface(Language, Audio):
     #      command =  query(Audio, lang ='en')
     #      state = activate_english(command)
     #      return state
-    
+         
     elif Language == 'Yoruba':
-        command =  query(Audio, 'yo')
+        command =  query(path, 'yo')
         state = activate_yoruba(command)
         return state
 
@@ -26,11 +40,11 @@ def interface(Language, Audio):
 
 demo = gr.Interface(
     fn=interface,
-    inputs=[gr.Dropdown(['Hausa', 'English', 'Yoruba'], value = 'Hausa', label='Select Your Prefered Language'), gr.Audio(source ='microphone', type='filepath')],
+    inputs=[gr.Dropdown(['Hausa', 'English', 'Yoruba'], value = 'Hausa', label='Select Your Prefered Language'), gr.Audio(source ='microphone', type='numpy')],
     outputs="text",
     live=True
 )
 
 
 if __name__ == '__main__':
-    demo.launch()
+    demo.launch(share=True)