| from fastai.vision.all import load_learner | |
| import gradio as gr | |
| import pathlib | |
| temp = pathlib.PosixPath | |
| pathlib.PosixPath = pathlib.WindowsPath | |
| musical_instruments = ( | |
| 'Bansuri', | |
| 'Harmonium', | |
| 'Pakhawaz', | |
| 'Santoor', | |
| 'Sarangi', | |
| 'Sarod', | |
| 'Shehnai', | |
| 'Sitar', | |
| 'Tabla', | |
| 'Tanpura' | |
| ) | |
| model = load_learner("models/musical-instrument-recognizer-v6.pkl") | |
| def recognize_image(image): | |
| pred, idx, probs = model.predict(image) | |
| return dict(zip(musical_instruments, map(float, probs))) | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = [ | |
| 'test_data/bansuri.jfif', | |
| 'test_data/harmonium.jfif', | |
| 'test_data/pakhawaj.jfif', | |
| 'test_data/santoor.jfif', | |
| 'test_data/sarengi.jfif', | |
| 'test_data/sarod.jfif', | |
| 'test_data/shehnai.jfif', | |
| 'test_data/sitar.jfif', | |
| 'test_data/tabla.jfif', | |
| 'test_data/tanpura.jfif' | |
| ] | |
| iface = gr.Interface(fn=recognize_image, inputs = image, outputs= label, examples = examples) | |
| iface.launch(inline =False, share = False) |