#!/usr/bin/env python3 # # Copyright 2022 Xiaomi Corp. (authors: Fangjun Kuang) # # See LICENSE for clarification regarding multiple authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import gradio as gr demo = gr.Blocks() def process_uploaded_file(uploaded_file: str): print("uploaded_file", uploaded_file) return "hello" with demo: gr.Markdown("Upload audio from disk or record from microphone for recognition") with gr.Tabs(): with gr.TabItem("Upload from disk"): uploaded_file = gr.inputs.Audio( source="upload", # Choose between "microphone", "upload" type="filepath", optional=False, label="Upload from disk", ) upload_button = gr.Button("Upload") uploaded_output = ( gr.outputs.Textbox(label="Recognized speech for uploaded file"), ) with gr.TabItem("Record from microphone"): microphone = gr.inputs.Audio( source="microphone", # Choose between "microphone", "upload" type="filepath", optional=False, label="Record from microphone", ) recorded_output = ( gr.outputs.Textbox(label="Recognized speech for recordings"), ) record_button = gr.Button("Record") upload_button.click( process_uploaded_file, inputs=uploaded_file, outputs=uploaded_output, ) record_button.click( process_uploaded_file, inputs=microphone, outputs=recorded_output, ) if __name__ == "__main__": demo.launch()