added more fields

app.py

@@ -1,28 +1,29 @@
 import gradio as gr
+import json
 
-# Define a function that takes the input parameters and returns a result
-def analyze_person(sex, age, height, weight):
-    # You can perform any processing or analysis here based on the input parameters
-    # For this example, we'll simply return the input parameters as a dictionary
-    result = {
-        "Sex": sex,
-        "Age": age,
-        "Height": height,
-        "Weight": weight
+# Function to collect inputs and return a JSON
+def create_json(sex, age, weight, height, diet):
+    data = {
+        "sex": sex,
+        "age": age,
+        "weight": weight,
+        "height": height,
+        "dietary preference": diet,
     }
-    return result
+    return json.dumps(data, indent=4)  # Convert the dictionary to a JSON string with indentation
 
-# Define the Gradio interface
+# Create Gradio UI with input components for sex, age, weight, height, and diet
 iface = gr.Interface(
-    fn=analyze_person,  # Function to call with input parameters
-    inputs=[
-        gr.inputs.Radio(["Male", "Female"], label="Sex"),  # Radio button for sex
-        gr.inputs.Number(label="Age"),  # Numeric input for age
-        gr.inputs.Number(label="Height (cm)"),  # Numeric input for height
-        gr.inputs.Number(label="Weight (kg)")  # Numeric input for weight
+    create_json,
+    [
+        gr.components.Radio(["Male", "Female", "Other"], label="Sex"),
+        gr.components.Slider(minimum=0, maximum=120, default=25, label="Age"),
+        gr.components.Slider(minimum=0, maximum=200, default=65, label="Weight (kg)"),
+        gr.components.Slider(minimum=0, maximum=250, default=170, label="Height (cm)"),
+        gr.components.Dropdown(["Veg", "Non-Veg", "Vegan"], label="Dietary Preference"),
     ],
-    outputs=gr.outputs.JSON()  # Display the result as JSON
+    gr.components.JSON(label="Output JSON")
 )
 
-# Start the Gradio interface
+# Launch the Gradio app
 iface.launch()