Pranjal-psytech
commited on
Commit
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ffd45c2
1
Parent(s):
f1d45e3
"Example"
Browse files- 7227b3db-c212-4370-8b42-443eea1577aa___RS_Early.B 7306.JPG +0 -0
- 7456db33-766c-4a68-b924-ddf69d579981___RS_Early.B 6723.JPG +0 -0
- 7486e823-64f7-4e43-ab51-26261b077fc2___RS_Early.B 6785.JPG +0 -0
- 8829e413-5a7a-4680-b873-e71dfa9dbfe4___RS_LB 3974.JPG +0 -0
- 9001b18c-b659-4c56-9dfb-0d0bf64a7b4a___RS_LB 4987.JPG +0 -0
- 9009c86e-1205-4694-b0bb-ef7cf78dd104___RS_LB 3995.JPG +0 -0
- Potato_healthy-76-_0_2420.jpg +0 -0
- Potato_healthy-76-_0_6833.jpg +0 -0
- Potato_healthy-76-_0_7539.jpg +0 -0
- app.py +3 -1
7227b3db-c212-4370-8b42-443eea1577aa___RS_Early.B 7306.JPG
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7456db33-766c-4a68-b924-ddf69d579981___RS_Early.B 6723.JPG
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7486e823-64f7-4e43-ab51-26261b077fc2___RS_Early.B 6785.JPG
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8829e413-5a7a-4680-b873-e71dfa9dbfe4___RS_LB 3974.JPG
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9001b18c-b659-4c56-9dfb-0d0bf64a7b4a___RS_LB 4987.JPG
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9009c86e-1205-4694-b0bb-ef7cf78dd104___RS_LB 3995.JPG
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Potato_healthy-76-_0_2420.jpg
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Potato_healthy-76-_0_6833.jpg
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Potato_healthy-76-_0_7539.jpg
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app.py
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@@ -59,6 +59,8 @@ def classify_image(image):
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# pred = model.predict(img_array)
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# return pred[0][0]
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# Define the Gradio interface for image input
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input_interface = gr.inputs.Image()
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@@ -66,4 +68,4 @@ input_interface = gr.inputs.Image()
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output_interface = gr.Textbox()
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# Launch the Gradio interface with the classify_image function as the prediction function
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gr.Interface(fn=classify_image, inputs=input_interface, outputs=output_interface).launch()
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# pred = model.predict(img_array)
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# return pred[0][0]
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examples=[os.path.join(os.path.dirname(__file__),'7227b3db-c212-4370-8b42-443eea1577aa___RS_Early.B 7306.JPG','7456db33-766c-4a68-b924-ddf69d579981___RS_Early.B 6723.JPG','7486e823-64f7-4e43-ab51-26261b077fc2___RS_Early.B 6785.JPG','8829e413-5a7a-4680-b873-e71dfa9dbfe4___RS_LB 3974.JPG','9001b18c-b659-4c56-9dfb-0d0bf64a7b4a___RS_LB 4987.JPG','9009c86e-1205-4694-b0bb-ef7cf78dd104___RS_LB 3995.JPG','Potato_healthy-76-_0_2420.jpg','Potato_healthy-76-_0_6833.jpg','Potato_healthy-76-_0_7539.jpg')]
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# Define the Gradio interface for image input
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input_interface = gr.inputs.Image()
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output_interface = gr.Textbox()
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# Launch the Gradio interface with the classify_image function as the prediction function
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gr.Interface(fn=classify_image, inputs=input_interface, outputs=output_interface,Examples=examples).launch()
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