| import gradio as gr | |
| import pickle | |
| from fastai.vision.all import * | |
| #Windows fix | |
| import pathlib | |
| temp = pathlib.PosixPath | |
| pathlib.PosixPath = pathlib.WindowsPath | |
| learn = load_learner('model.pkl') | |
| def predict(input): | |
| image = PILImage.create(input).resize((182, 268)) | |
| # Use your model to make predictions on the input data | |
| results = learn.predict(image)[0] | |
| results = ', '.join(results) | |
| return results | |
| demo = gr.Interface(fn=predict, inputs="image",examples=['examples\Gun.jpg','examples\mario movie.jpg','examples\lalaLand.jpg'] ,outputs="text") | |
| demo.launch() |