Create app.py

app.py

@@ -0,0 +1,49 @@
+import gradio as gr
+import random
+import time
+
+with gr.Blocks() as demo:
+    msg = gr.Textbox(label="pregnancies")
+    msg1 = gr.Textbox(label="Glucose")
+    msg2 = gr.Textbox(label="BloodPressure")
+    msg3 = gr.Textbox(label="SkinThickness")
+    msg4 = gr.Textbox(label="Insulin")
+    msg5 = gr.Textbox(label="BMI")
+    msg6 = gr.Textbox(label="DiabetesPedigreeFunction")
+    msg7 = gr.Textbox(label="Age")
+    button =gr.Button("Submit")
+    result = gr.Textbox(label="predicted result")
+   
+
+    def respond(msg, msg1,msg2,msg3,msg4,msg5,msg6,msg7):
+      import requests
+      import json
+
+      url = "https://nasma-arafath.hf.space/diabetes_prediction"
+
+      payload = json.dumps({
+        "pregnancies": msg,
+        "Glucose": msg1,
+        "BloodPressure": msg2,
+        "SkinThickness": msg3,
+        "Insulin": msg4,
+        "BMI": msg5,
+        "DiabetesPedigreeFunction": msg6,
+        "Age": msg7
+      })
+      headers = {
+        'accept': 'application/json',
+        'Content-Type': 'application/json'
+      }
+
+      response = requests.request("POST", url, headers=headers, data=payload)
+
+      print(response.text)
+   
+       
+      return response.text
+
+    button.click(respond, [msg, msg1,msg2,msg3,msg4,msg5,msg6,msg7], [result])
+
+if __name__ == "__main__":
+    demo.launch()