app.py

import gradio as gr
import librosa

def load_audio_to_tensor(filename):
    audio, sampling_rate = librosa.load(filename, sr=None, mono=True)  # load audio and convert to mono
    wave = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)  # resample to 16KHz
    return wave

def greet(name):
    wave = load_audio_to_tensor(name)
    # return "Hello " + str(name[1]) + "!!"
    return wave

iface = gr.Interface(fn=greet, inputs="file", outputs="text")
# iface = gr.Interface(fn=greet, inputs="audio", outputs="text")
iface.launch()