app.py

import gradio as gr

fastspeech = gr.Interface.load("huggingface/facebook/fastspeech2-en-ljspeech")

def text2speech(text):
    return fastspeech(text)
    

app = gr.Interface(fn=text2speech, 
                   inputs="text",
                   live=True,
                   description="Takes a snapshot of an object, identifies it, and then tell you what it is. \n Intended use is to help the visually impaired. Models and     dataset used is listed on the linked models and dataset", 
                   outputs=gr.outputs.Audio(type="file", label="Speech Answer"),
                   examples=["remotecontrol.jpg", "calculator.jpg", "cellphone.jpg"])
                   
 
#def greet(name):
#    return "Hello " + name + "!!"

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