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| import gradio as gr | |
| from utils import SpeechRecognition | |
| sp = SpeechRecognition() | |
| sp.load_model() | |
| #sample_file = "assets/samples/sample1378.flac" | |
| def recognition(audio_file): | |
| print("audio_file", audio_file.name) | |
| speech, rate = sp.load_speech_with_file(audio_file.name) | |
| result = sp.predict_audio_file(speech) | |
| print(result) | |
| return result | |
| inputs = gr.inputs.Audio(label="Input Audio", type="file") | |
| outputs = "text" | |
| title = "Turkish Automatic Speech Recognition" | |
| description = "Demo for Turkish Automatic Speech Recognition with Huggingface wav2vec Turkish Model. To use it, simply upload your audio, or click one of the examples to load them." | |
| article = "<p style='text-align: center'>This is the model for <a href='https://huggingface.co/patrickvonplaten/wav2vec2-common_voice-tr-demo' target='_blank'>patrickvonplaten/wav2vec2-common_voice-tr-demo</a>, a fine-tuned <a href='https://huggingface.co/facebook/wav2vec2-large-xlsr-53' target='_blank'>facebook/wav2vec2-large-xlsr-53</a> model on the <a href='https://commonvoice.mozilla.org/en/datasets' target='_blank'>Turkish Common Voice dataset</a>.<br/>When using this model, make sure that your speech input is sampled at 16kHz.<br/><a href='https://github.com/yavuzKomecoglu' target='_blank'>Contact me</a></p>" | |
| examples = [ | |
| ['assets/samples/common_voice_sample_1378.flac'], | |
| ['assets/samples/common_voice_sample_1589.flac'], | |
| ['assets/samples/baris_ozcan_sample_1.wav'], | |
| ['assets/samples/baris_ozcan_sample_2.wav'], | |
| ['assets/samples/baris_ozcan_sample_3.wav'] | |
| ] | |
| gr.Interface(recognition, inputs, outputs, title=title, description=description, article=article, examples=examples).launch() |