Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import os
+
+# File to persist data
+DATA_FILE = "bmi_data.csv"
+
+# Load or create data file
+if os.path.exists(DATA_FILE):
+    df_history = pd.read_csv(DATA_FILE)
+else:
+    df_history = pd.DataFrame(columns=["Name", "Height", "Weight", "BMI", "Feeling"])
+
+def bmi(name, height, weight, feeling):
+    bmi_value = weight / (height ** 2)
+    result_emoticon = "😀" if bmi_value < 30 else "😔"
+    output_str = f"Hello 👋 {name}...\nYour BMI is {bmi_value:.2f}"
+    feeling_msg = "You're feeling happy today! 😊" if feeling == "Yes" else "Hope you feel better soon! 🌈"
+
+    # Append new entry
+    new_entry = {
+        "Name": name,
+        "Height": height,
+        "Weight": weight,
+        "BMI": round(bmi_value, 2),
+        "Feeling": feeling
+    }
+
+    global df_history
+    df_history = df_history._append(new_entry, ignore_index=True)
+    df_history.to_csv(DATA_FILE, index=False)
+
+    return output_str, result_emoticon, feeling_msg, df_history
+
+interface = gr.Interface(
+    fn=bmi,
+    inputs=[
+        gr.Textbox(label="Name"),
+        gr.Slider(0.5, 2.5, step=0.01, label="Height in Meters"),
+        gr.Slider(20, 200, step=1, label="Weight in Kg"),
+        gr.Radio(["Yes", "No"], label="Are you feeling happy today?")
+    ],
+    outputs=[
+        gr.Text(label="BMI Result"),
+        gr.Text(label="Emoticon"),
+        gr.Text(label="Mood Message"),
+        gr.Dataframe(label="All-Time History")
+    ],
+    examples=[
+        ["mate", 1.7, 60, "Yes"],
+        ["guro", 1.75, 70, "Yes"],
+        ["levan", 1.69, 73, "Yes"]
+    ],
+
+    theme = gr.themes.Soft(),
+    title="BMI Calculator with Emotions 😊",
+    description="Your BMI is calculated and saved with your name and mood. Try an example or input your own info!"
+)
+
+interface.launch(
+    auth=("user", "userpass"),
+    auth_message='Check your <strong> Login Details</strong> sent to your <i>email 📧 </i>'
+)