| import gradio as gr |
| import pickle |
|
|
| def predict(sg,al,sc,hemo,rc): |
|
|
| with open('model_rf_sg_al_sc_hemo_rc_1.0_6.pkl', 'rb') as f: |
| loaded_model = pickle.load(f) |
| values =[] |
|
|
| values.append(float(sg)) |
| values.append(float(al)) |
| values.append(float(sc)) |
| values.append(float(hemo)) |
| values.append(float(rc)) |
|
|
|
|
| |
| final_result=loaded_model.predict([values]) |
| if final_result : |
| return "Positive" |
| else: |
| return "Negative" |
|
|
| iface = gr.Interface(predict, |
| [ |
| gr.Textbox(label="Specific Gravity" ,info="", value="1.02"), |
| gr.Textbox(label="Albumin" ,info="0 to 5", value="0"), |
| gr.Textbox(label="Serum Creatinine" ,info="mgs/dl", value="1.3"), |
| gr.Textbox(label="Hemoglobin" ,info="gms", value="12.6499"), |
| gr.Textbox(label="Red Blood Cell Count" ,info="millions/cmm", value="4.8"), |
| ] |
| , outputs = "text", title = "This App predicts if a user has CKD or not/ Prefilled Data are the Medians") |
|
|
|
|
| iface.launch() |
