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from fastai.vision.all import *
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.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = [
'bansuri.jfif',
'harmonium.jfif',
'pakhawaj.jfif',
'santoor.jfif',
'sarengi.jfif',
'sarod.jfif',
'shehnai.jfif',
'sitar.jfif',
'tabla.jfif',
'tanpura.jfif'
]
iface = gr.Interface(fn=recognize_image, inputs = image, outputs= label, examples = examples)
iface.launch(inline =False, share = True) |