Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+import numpy as np
+from autoattendand.SpeechIntent import SpeechTranslate
+from scipy.io.wavfile import write
+
+
+speech_intent = SpeechTranslate()
+
+def numpy_to_wavfile(audio,name="audio.wav"):
+    write(name, audio[0], audio[1])
+    return name
+
+def reply_intent(audioarray,intent_labels):
+    print(intent_labels,audioarray)
+    audiofile = numpy_to_wavfile(audioarray)
+    reply_audio,intent = speech_intent.process(audiofile,intent_labels)
+    numpy_to_wavfile((reply_audio,22050),"output.wav")
+    return reply_audio,intent
+
+reply_intent_interface = gr.Interface(
+    fn=reply_intent,
+    inputs=[gr.Audio(source="microphone",type="numpy",label="Audio"),gr.Textbox(["None","greeting","goodbye","thanks","yes","no","affirmative","negative","request","statement","question","command","other"],label="Intent")],
+    outputs=[gr.Audio(type="numpy",label="Reply"),gr.Textbox(label="Intent")],
+    title="Auto-intent",
+    description="Auto-intent",
+    allow_flagging=False,
+    allow_screenshot=False,
+)
+
+reply_intent_interface.launch(share=True)