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README.md

@@ -1,13 +1,27 @@
----
-title: Accident Predictor
-emoji: 🌖
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 6.1.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Accident Severity Predictor
+emoji: 🚗
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.0.0
+app_file: app.py
+pinned: false
+---
+
+# 🚗 Accident Severity Predictor
+
+A simple AI tool to predict accident severity based on driving conditions.
+
+## How to Use:
+1. Adjust the sliders and dropdowns
+2. Click "Predict Severity"
+3. View the predicted risk level
+
+## Features:
+- Real-time prediction
+- Multiple risk factors
+- Safety recommendations
+- Example scenarios
+
+Made with ❤️ using Gradio

app.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+
+# Simple prediction function
+def predict_accident(
+    speed, vehicles, age, hour,
+    weather, road, vehicle_type
+):
+    """Simple prediction logic - you'll replace this later"""
+    
+    # Simple risk calculation
+    risk_score = 0
+    
+    # Add risk based on speed
+    if speed > 80:
+        risk_score += 30
+    elif speed > 60:
+        risk_score += 15
+    
+    # Add risk based on weather
+    if weather in ["Rain", "Heavy Rain", "Storm"]:
+        risk_score += 25
+    
+    # Add risk based on road condition
+    if road in ["Wet", "Slippery"]:
+        risk_score += 20
+    
+    # Add risk based on vehicle type
+    if vehicle_type in ["Motorcycle", "Bicycle"]:
+        risk_score += 25
+    
+    # Add risk based on time
+    if hour >= 20 or hour <= 6:
+        risk_score += 15
+    
+    # Determine severity
+    if risk_score > 60:
+        severity = "FATAL 🚨"
+        color = "red"
+    elif risk_score > 40:
+        severity = "SERIOUS ⚠️"
+        color = "orange"
+    else:
+        severity = "MINOR ✅"
+        color = "green"
+    
+    # Create result HTML
+    result_html = f"""
+    <div style="padding: 20px; background-color: #f8f9fa; border-radius: 10px; border-left: 5px solid {color};">
+        <h2 style="color: {color};">Predicted Severity: {severity}</h2>
+        <h3>Risk Score: {risk_score}/100</h3>
+        
+        <h4>📋 Input Summary:</h4>
+        <ul>
+            <li>Speed: {speed} km/h</li>
+            <li>Vehicles: {vehicles}</li>
+            <li>Driver Age: {age} years</li>
+            <li>Time: {hour}:00 hours</li>
+            <li>Weather: {weather}</li>
+            <li>Road: {road}</li>
+            <li>Vehicle: {vehicle_type}</li>
+        </ul>
+        
+        <h4>💡 Safety Tips:</h4>
+        <ul>
+            <li>{"🚨 REDUCE SPEED IMMEDIATELY!" if risk_score > 60 else "⚠️ Drive with caution" if risk_score > 40 else "✅ Safe conditions"}</li>
+            <li>Keep safe distance from other vehicles</li>
+            <li>Stay alert to changing conditions</li>
+        </ul>
+    </div>
+    """
+    
+    return result_html, risk_score
+
+# Create the UI
+with gr.Blocks(title="Accident Predictor", theme=gr.themes.Soft()) as demo:
+    
+    # Title
+    gr.Markdown("# 🚗 Accident Severity Predictor")
+    gr.Markdown("Enter details below to predict accident severity")
+    
+    # Input Section
+    with gr.Row():
+        with gr.Column():
+            speed = gr.Slider(20, 120, value=60, label="Speed (km/h)")
+            vehicles = gr.Slider(1, 10, value=2, label="Number of Vehicles")
+            age = gr.Slider(18, 80, value=35, label="Driver Age")
+            hour = gr.Slider(0, 23, value=14, label="Time of Day (Hour)")
+        
+        with gr.Column():
+            weather = gr.Dropdown(
+                ["Clear", "Cloudy", "Rain", "Heavy Rain", "Fog", "Storm"],
+                value="Clear",
+                label="Weather"
+            )
+            road = gr.Dropdown(
+                ["Dry", "Wet", "Slippery", "Damaged", "Construction"],
+                value="Dry",
+                label="Road Condition"
+            )
+            vehicle_type = gr.Dropdown(
+                ["Car", "Truck", "Bus", "Motorcycle", "Bicycle"],
+                value="Car",
+                label="Vehicle Type"
+            )
+    
+    # Buttons
+    predict_btn = gr.Button("🚦 Predict Severity", variant="primary")
+    
+    # Output Section
+    with gr.Row():
+        output_html = gr.HTML(label="Prediction Result")
+        risk_gauge = gr.Number(label="Risk Score (0-100)")
+    
+    # Connect button to function
+    predict_btn.click(
+        fn=predict_accident,
+        inputs=[speed, vehicles, age, hour, weather, road, vehicle_type],
+        outputs=[output_html, risk_gauge]
+    )
+    
+    # Examples Section
+    gr.Markdown("### 🎯 Try These Examples:")
+    
+    with gr.Row():
+        high_risk_btn = gr.Button("High Risk Scenario")
+        med_risk_btn = gr.Button("Medium Risk Scenario")
+        low_risk_btn = gr.Button("Low Risk Scenario")
+    
+    # Example functions
+    def set_high_risk():
+        return [120, 3, 22, 22, "Heavy Rain", "Slippery", "Motorcycle"], None
+    
+    def set_med_risk():
+        return [80, 2, 35, 10, "Rain", "Wet", "Car"], None
+    
+    def set_low_risk():
+        return [40, 1, 45, 14, "Clear", "Dry", "Car"], None
+    
+    # Connect example buttons
+    high_risk_btn.click(set_high_risk, outputs=[speed, vehicles, age, hour, weather, road, vehicle_type, output_html])
+    med_risk_btn.click(set_med_risk, outputs=[speed, vehicles, age, hour, weather, road, vehicle_type, output_html])
+    low_risk_btn.click(set_low_risk, outputs=[speed, vehicles, age, hour, weather, road, vehicle_type, output_html])
+    
+    # Footer
+    gr.Markdown("---")
+    gr.Markdown("**Note:** This is a demo. Always drive safely!")
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio>=4.0.0
+pandas>=1.5.0
+numpy>=1.24.0