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| from simbals_apis_public_clients.clients.services import SimbalsAPIClient | |
| import time | |
| import json | |
| import os | |
| import gradio as gr | |
| SIMBALS_GLOBAL_DB = 1 | |
| SIMBALS_MAIN_DATABASE = 2 | |
| def process(input_path): | |
| # setup the client | |
| client = SimbalsAPIClient(os.environ['TOKEN'], debug=True) | |
| parameters = client.prepare_request("31415", audio_file=input_path) | |
| # add audio features service with an available database | |
| #parameters = client.add_audio_features(parameters, SIMBALS_MAIN_DATABASE) | |
| parameters = client.add_tags(parameters, SIMBALS_MAIN_DATABASE) | |
| # launch the request and test for ok/code values | |
| ok, code, job_id = client.launch_request(parameters) | |
| # try to get the results with obtained job_id. If code is 4, job is not finished. In all other cases, job is finished | |
| for i in range(1000): | |
| results=client.get_results(job_id) | |
| if results[0] != 4: | |
| print(json.dumps(results[1], indent=1)) | |
| #return json.dumps(results[1], indent=1) | |
| output = json.dumps(results[1], indent=1) | |
| break | |
| time.sleep(1) | |
| res = results[1]["response"]["tagging"]["2"] | |
| dict_moods = {} | |
| for m in res['moods']: | |
| dict_moods[m['name']] = m['probability'] | |
| dict_desc={} | |
| for d in res['music_descriptors']: | |
| dict_desc[d['name']] = d['value'] | |
| genres={} | |
| for d in res['genres']: | |
| genres[d['name']] = d['probability'] | |
| themes = [] | |
| for d in res['themes']: | |
| themes.append((d['name'],d['probability'])) | |
| print(themes) | |
| instruments = [] | |
| for d in res['instruments']: | |
| instruments.append((d['name'],d['probability'])) | |
| print(instruments) | |
| timbres = [] | |
| for d in res['timbres']: | |
| timbres.append((d['name'],d['probability'])) | |
| print(timbres) | |
| vocalgender = [res['vocal_gender'][0]['name'], res['vocal_gender'][0]['probability']] | |
| print(vocalgender) | |
| audioquality = [res['audio_quality'][0]['name'], res['audio_quality'][0]['probability']] | |
| print(audioquality) | |
| return dict_moods, dict_desc, genres | |
| demo = gr.Interface(fn=process, | |
| inputs=gr.Audio(type="filepath"), | |
| outputs=gr.outputs.Label(label="Moods"), | |
| #outputs=gr.outputs.Textbox(label="Generated Text") | |
| #examples=example_list, | |
| #cache_examples=False | |
| ) | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| audio_input = gr.Audio(type="filepath", label='Audio Input') | |
| with gr.Row(): | |
| analyze_btn = gr.Button('Analyze File') | |
| with gr.Row(): | |
| dict_moods=gr.outputs.Label(label="Moods") | |
| dict_desc=gr.outputs.Label(label="Descriptors") | |
| genres = gr.outputs.Label(label="Genres") | |
| analyze_btn.click(process, inputs=[audio_input], outputs=[dict_moods, dict_desc, genres]) | |
| #audio_input.submit(process, inputs=[audio_input], outputs=[moods]) # pas de sens ! | |
| demo.launch(debug=False) |