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| import gradio as gr | |
| from test import predict_uri | |
| import sys | |
| import warnings | |
| from fastapi import FastAPI | |
| # ignore UserWarning | |
| warnings.simplefilter("ignore", UserWarning) | |
| # examples = [ | |
| # ['res/miaow_16k.wav'], | |
| # ['res/snore/pro_snore 6bee45643b45af9b_a7a3bbe6ba79af5b25b19ad10a8d9421d0d5679b.wav'], | |
| # ['res/snore/Snoring vs Sleep Apnea - What the difference sounds like.mp4'] | |
| # ] | |
| title = "yamnet test" | |
| description = "An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology." | |
| # # https://github.com/gradio-app/gradio/issues/2362 | |
| # class Logger: | |
| # def __init__(self, filename): | |
| # self.terminal = sys.stdout | |
| # self.log = open(filename, "w") | |
| # | |
| # def write(self, message): | |
| # self.terminal.write(message) | |
| # self.log.write(message) | |
| # | |
| # def flush(self): | |
| # self.terminal.flush() | |
| # self.log.flush() | |
| # | |
| # def isatty(self): | |
| # return False | |
| # | |
| # | |
| # sys.stdout = Logger("output.log") | |
| # | |
| # | |
| # def test(x): | |
| # print("This is a test") | |
| # print(f"Your function is running with input {x}...") | |
| # return x | |
| # | |
| # | |
| # def read_logs(): | |
| # sys.stdout.flush() | |
| # with open("output.log", "r") as f: | |
| # return f.read() | |
| # | |
| # | |
| # with gr.Interface(predict_uri, inputs=gr.inputs.Audio(type="filepath"), outputs=["text", 'plot']) as demo: | |
| # examples = examples, | |
| # title = title, | |
| # description = description, | |
| # allow_flagging = 'never' | |
| # | |
| # logs = gr.Textbox() | |
| # demo.load(read_logs, None, logs, every=1) | |
| # | |
| # demo.launch(enable_queue=True, show_error=True) | |
| # with gr.Blocks() as demo: | |
| # with gr.Row(): | |
| # inputs = gr.inputs.Audio(type="filepath") | |
| # outputs = ["text", 'plot'] | |
| # btn = gr.Button("Run") | |
| # btn.click(predict_uri, inputs, outputs) | |
| # | |
| # logs = gr.Textbox() | |
| # demo.load(read_logs, None, logs, every=1) | |
| # | |
| # demo.queue().launch() | |
| demo = gr.Interface( | |
| predict_uri, | |
| inputs=[ | |
| gr.inputs.Audio(type="filepath"), | |
| gr.inputs.Audio(source="microphone", type="filepath"), | |
| gr.Slider(minimum=7, maximum=21, step=1) | |
| ], | |
| outputs=['image', 'image', 'image', 'text', 'text', 'text', 'text'], | |
| # examples=examples, | |
| title=title, | |
| description=description, | |
| allow_flagging='never' | |
| ) | |
| demo.launch(enable_queue=True, show_error=True, share=False) | |
| # # FastAPI | |
| # CUSTOM_PATH = "/gradio" | |
| # | |
| # app = FastAPI() | |
| # | |
| # | |
| # @app.get("/") | |
| # def read_main(): | |
| # return {"message": "This is your main app"} | |
| # | |
| # | |
| # io = gr.Interface(lambda x: "Hello, " + x + "!", "textbox", "textbox") | |
| # app = gr.mount_gradio_app(app, io, path=CUSTOM_PATH) | |