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#!/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()
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