add new code

app.py

@@ -32,4 +32,14 @@ def transcribe(audio):
     stop = timeit.default_timer()
     return "message"+ transcription[0]+ "\nfilename"+ audio.name+"\nTrancriptionTime"+stop-start
 
+gradio_ui = gr.Interface(
+    fn=transcribe,
+    title="Kinyarwanda Speech Recognition",
+    description="Upload an audio clip or record from browser using microphone, and let AI do the hard work of transcribing.",
+    article = """
+    This demo showcases the pretrained model from deepspeech.
+    """,
+    inputs=[gr.inputs.Audio(label="Upload Audio File", type="file", optional=True), gr.inputs.Audio(source="microphone", type="file", optional=True, label="Record from microphone")],
+    outputs=[gr.outputs.Textbox(label="Recognized speech")]
+)
 gradio_ui.launch()