Update app.py

app.py

@@ -1,39 +1,82 @@
 
-  import gradio as gr
-import pandas as pd
-
-# Sample data: Courses and categories
-courses = pd.DataFrame({
-    "Course": [
-        "Calculus I", "Physics I", "Programming 101",
-        "Linear Algebra", "Statistics", "Chemistry",
-        "Data Structures", "Machine Learning"
-    ],
-    "Category": [
-        "Mathematics", "Physics", "Computer Science",
-        "Mathematics", "Mathematics", "Chemistry",
-        "Computer Science", "Computer Science"
-    ]
-})
-
-# Function to recommend courses based on subject
-def recommend_courses(favorite_subject):
-    recommended = courses[courses["Category"] == favorite_subject]
-    if recommended.empty:
-        return "No courses found for this subject."
-    return "\n".join(recommended["Course"].tolist())
-
-# Gradio interface with dropdown menu
-iface = gr.Interface(
-    fn=recommend_courses,
-    inputs=gr.Dropdown(
-        choices=["Mathematics", "Physics", "Computer Science", "Chemistry"],
-        label="Select your favorite subject"
-    ),
-    outputs=gr.Textbox(label="Recommended Courses"),
-    title="University Course Recommendation System",
-    description="Select your favorite subject to get course recommendations!"
-)
-
-# Launch the app
-iface.launch()
+ import streamlit as st
+import time
+
+# Page setup
+st.set_page_config(page_title="AI Robot Simulator", layout="centered")
+
+st.title("🤖 AI Obstacle Avoiding Robot Simulator")
+st.markdown("### Online Simulation of Arduino AI Decision-Making")
+
+st.markdown("---")
+
+# Sensor Input
+st.subheader("📡 Ultrasonic Sensor Input")
+
+distance = st.slider("Set Distance from Obstacle (cm)", 0, 100, 50)
+
+st.write(f"**Current Distance:** {distance} cm")
+
+st.markdown("---")
+
+# AI Decision Logic
+st.subheader("🧠 AI Robot Decision System")
+
+action = ""
+
+if distance > 25:
+    action = "Moving Forward 🚗"
+    st.success(action)
+
+elif 10 < distance <= 25:
+    action = "Slowing Down ⚠️"
+    st.warning(action)
+
+else:
+    action = "STOP + Turning Right 🔄"
+    st.error(action)
+
+# Robot Animation
+st.markdown("---")
+st.subheader("🎥 Robot Movement Simulation")
+
+robot = st.empty()
+
+if "Forward" in action:
+    for i in range(3):
+        robot.markdown("🤖 ➡️ ➡️ ➡️")
+        time.sleep(0.3)
+
+elif "Slowing" in action:
+    for i in range(2):
+        robot.markdown("🤖 ➡️ ⚠️")
+        time.sleep(0.5)
+
+else:
+    for i in range(2):
+        robot.markdown("🤖 ⛔ 🔄")
+        time.sleep(0.6)
+
+# Arduino Code Explanation
+st.markdown("---")
+st.subheader("💻 Arduino AI Logic Used")
+
+st.code("""
+if (distance > 25) {
+    moveForward();
+}
+else if (distance > 10) {
+    slowDown();
+}
+else {
+    stopRobot();
+    turnRight();
+}
+""")
+
+# Project Info
+st.markdown("---")
+st.info("""
+✅ This simulator represents an AI-based obstacle avoiding robot  
+Built with Streamlit for Hugging Face Spaces deployment.
+""")