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{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":5048,"databundleVersionId":868335,"sourceType":"competition"},{"sourceId":24870,"sourceType":"modelInstanceVersion","isSourceIdPinned":true,"modelInstanceId":20964}],"dockerImageVersionId":30674,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"#|default_exp app","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-04-02T20:30:20.586267Z","iopub.execute_input":"2024-04-02T20:30:20.586565Z","iopub.status.idle":"2024-04-02T20:30:20.591001Z","shell.execute_reply.started":"2024-04-02T20:30:20.586539Z","shell.execute_reply":"2024-04-02T20:30:20.589901Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"!pip install gradio","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:30:42.639422Z","iopub.execute_input":"2024-04-02T20:30:42.639802Z","iopub.status.idle":"2024-04-02T20:31:03.089894Z","shell.execute_reply.started":"2024-04-02T20:30:42.639773Z","shell.execute_reply":"2024-04-02T20:31:03.088663Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"Collecting gradio\n Downloading gradio-4.25.0-py3-none-any.whl.metadata (15 kB)\nRequirement already satisfied: aiofiles<24.0,>=22.0 in 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tomlkit-0.12.4\nSuccessfully installed ffmpy-0.3.2 gradio-4.25.0 gradio-client-0.15.0 python-multipart-0.0.9 ruff-0.3.5 semantic-version-2.10.0 tomlkit-0.12.0 websockets-11.0.3\n","output_type":"stream"}]},{"cell_type":"code","source":"#|export\nfrom fastai.vision.all import *\nimport gradio as gr\nimport timm","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:31:03.092034Z","iopub.execute_input":"2024-04-02T20:31:03.092359Z","iopub.status.idle":"2024-04-02T20:31:06.014867Z","shell.execute_reply.started":"2024-04-02T20:31:03.092319Z","shell.execute_reply":"2024-04-02T20:31:06.014061Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"code","source":"learn = load_learner('/kaggle/input/resnet43-ddriver/pytorch/resnet43-ddriver/1/resnet34-DDriver.pkl')","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:35:10.027287Z","iopub.execute_input":"2024-04-02T20:35:10.027710Z","iopub.status.idle":"2024-04-02T20:35:11.121713Z","shell.execute_reply.started":"2024-04-02T20:35:10.027680Z","shell.execute_reply":"2024-04-02T20:35:11.120867Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"#export\ncategories = learn.dls.vocab\n\ndef classify_image(img):\n pred,idx,probs = learn.predict(img)\n return dict(zip(categories, map(float,probs)))","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:35:20.822678Z","iopub.execute_input":"2024-04-02T20:35:20.823060Z","iopub.status.idle":"2024-04-02T20:35:20.830298Z","shell.execute_reply.started":"2024-04-02T20:35:20.823028Z","shell.execute_reply":"2024-04-02T20:35:20.829090Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"#export\nimage = gr.Image()\nlabel = gr.Label()\nexamples = ['/kaggle/input/state-farm-distracted-driver-detection/imgs/test/img_100000.jpg']","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:42:34.178252Z","iopub.execute_input":"2024-04-02T20:42:34.178898Z","iopub.status.idle":"2024-04-02T20:42:34.184787Z","shell.execute_reply.started":"2024-04-02T20:42:34.178865Z","shell.execute_reply":"2024-04-02T20:42:34.183876Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"#export\nintf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\nintf.launch(inline=False)","metadata":{"execution":{"iopub.status.busy":"2024-04-02T20:42:44.854396Z","iopub.execute_input":"2024-04-02T20:42:44.854757Z","iopub.status.idle":"2024-04-02T20:42:51.365876Z","shell.execute_reply.started":"2024-04-02T20:42:44.854728Z","shell.execute_reply":"2024-04-02T20:42:51.364807Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"Running on local URL: http://127.0.0.1:7860\nKaggle notebooks require sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n\nRunning on public URL: https://82c0e25eb7b88c1eee.gradio.live\n\nThis share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n","output_type":"stream"},{"execution_count":13,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} |