Add application file

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+import joblib
+import numpy as np
+
+def preprocessing(gender):
+    if gender == "Male":
+        return 0
+    elif gender == "Female":
+        return 1
+  
+def predict(Gender,Haemoglobin,MCH,MCHC,MCV):
+    model = joblib.load("models/svm.pkl")
+    gender = preprocessing(Gender)
+    data = np.array([[gender,Haemoglobin,MCH,MCHC,MCV]])
+    pred = model.predict(data)
+    if pred == 0:
+        return "Not Anaemic"
+    else:
+        return "Anaemic"
+    
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=[gr.Radio(choices=["Male","Female"],value="str",label="Gender",info="Choose Gender"),
+            gr.Number(label="Haemoglobin"),
+            gr.Number(label="MCH"),
+            gr.Number(label="MCHC"),
+            gr.Number(label="MCV"),
+            ],
+    outputs=["text"],
+)
+
+demo.launch()