Commit
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16c5b4f
1
Parent(s):
1f9938f
Create app.py
Browse files
app.py
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from keras.models import load_model
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import cv2
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import json
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import gradio as gr
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model_result=load_model("fyp.h5",compile=True)
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f=open("fyp file.json")
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data=json.load(f)
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Tumor_Classes=list(data)
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def Tumor_Prediction(image):
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image=cv2.resize(image,(32,32))/255.0
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result=model_result.predict(image.reshape(1,32,32,3)).argmax()
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return Tumor_Classes[result],data[Tumor_Classes[result]]['Description'],data[Tumor_Classes[result]]['Causes'],data[Tumor_Classes[result]]['Symptoms'],data[Tumor_Classes[result]]['Treatment']
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interface=gr.Interface(fn=Tumor_Prediction,
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inputs="image",
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outputs=[gr.components.Textbox(label="Tumor Name"),gr.components.Textbox(label="Description"),gr.components.Textbox(label="Causes"),gr.components.Textbox(label="Symptoms"),gr.components.Textbox(label="Treatment")],
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enable_queu=True)
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interface.launch(debug=True)
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