Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+from datetime import datetime, timedelta
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+
+def visualize_sensor_data(file):
+    """Visualize IoT sensor data from uploaded CSV file"""
+    if file is None:
+        return generate_sample_chart(), "📊 Showing sample IoT sensor data"
+    
+    try:
+        df = pd.read_csv(file.name)
+        
+        # Create subplots
+        fig = make_subplots(
+            rows=2, cols=2,
+            subplot_titles=('Temperature (°C)', 'Humidity (%)', 'Vibration (Hz)', 'Power (W)')
+        )
+        
+        # Add traces
+        if 'timestamp' in df.columns or 'time' in df.columns:
+            x_col = 'timestamp' if 'timestamp' in df.columns else 'time'
+        else:
+            x_col = df.columns[0]
+            
+        if 'temperature' in df.columns:
+            fig.add_trace(go.Scatter(x=df[x_col], y=df['temperature'], name='Temperature', line=dict(color='#ff6b6b')), row=1, col=1)
+        if 'humidity' in df.columns:
+            fig.add_trace(go.Scatter(x=df[x_col], y=df['humidity'], name='Humidity', line=dict(color='#4ecdc4')), row=1, col=2)
+        if 'vibration' in df.columns:
+            fig.add_trace(go.Scatter(x=df[x_col], y=df['vibration'], name='Vibration', line=dict(color='#95e1d3')), row=2, col=1)
+        if 'power' in df.columns:
+            fig.add_trace(go.Scatter(x=df[x_col], y=df['power'], name='Power', line=dict(color='#f38181')), row=2, col=2)
+        
+        fig.update_layout(height=600, showlegend=False, title_text="IoT Sensor Data Visualization")
+        
+        summary = f"✅ Data loaded: {len(df)} records | Columns: {', '.join(df.columns.tolist())}"
+        return fig, summary
+        
+    except Exception as e:
+        return generate_sample_chart(), f"⚠️ Error: {str(e)}. Showing sample data instead."
+
+def generate_sample_chart():
+    """Generate sample IoT sensor data for demonstration"""
+    timestamps = pd.date_range(start=datetime.now() - timedelta(hours=24), periods=100, freq='15min')
+    
+    df = pd.DataFrame({
+        'timestamp': timestamps,
+        'temperature': 20 + np.random.randn(100) * 5,
+        'humidity': 60 + np.random.randn(100) * 10,
+        'vibration': 50 + np.random.randn(100) * 15,
+        'power': 100 + np.random.randn(100) * 20
+    })
+    
+    fig = make_subplots(
+        rows=2, cols=2,
+        subplot_titles=('Temperature (°C)', 'Humidity (%)', 'Vibration (Hz)', 'Power (W)')
+    )
+    
+    fig.add_trace(go.Scatter(x=df['timestamp'], y=df['temperature'], name='Temperature', line=dict(color='#ff6b6b')), row=1, col=1)
+    fig.add_trace(go.Scatter(x=df['timestamp'], y=df['humidity'], name='Humidity', line=dict(color='#4ecdc4')), row=1, col=2)
+    fig.add_trace(go.Scatter(x=df['timestamp'], y=df['vibration'], name='Vibration', line=dict(color='#95e1d3')), row=2, col=1)
+    fig.add_trace(go.Scatter(x=df['timestamp'], y=df['power'], name='Power', line=dict(color='#f38181')), row=2, col=2)
+    
+    fig.update_layout(height=600, showlegend=False, title_text="Sample IoT Sensor Data (24 Hours)")
+    
+    return fig
+
+# Create Gradio interface
+with gr.Blocks(title="IoT Sensor Visualizer - Anktechsol", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("""
+    # 🌐 IoT Sensor Visualizer for Edge AI Projects
+    ### by **Anktechsol** - AI + IoT Experts
+    
+    Upload your IoT sensor CSV file to visualize temperature, humidity, vibration, and power data.
+    **No file?** We'll show you sample data!
+    
+    **Expected CSV format:** `timestamp, temperature, humidity, vibration, power`
+    """)
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            file_input = gr.File(label="📁 Upload CSV File", file_types=[".csv"])
+            visualize_btn = gr.Button("📊 Visualize Data", variant="primary", size="lg")
+            gr.Markdown("""---
+            ### 🔗 Links
+            - [Anktechsol Website](https://anktechsol.com)
+            - [More AIoT Tools](https://huggingface.co/anktechsol)
+            """)
+        
+        with gr.Column(scale=3):
+            plot_output = gr.Plot(label="Sensor Data Visualization")
+            status_output = gr.Textbox(label="Status", interactive=False)
+    
+    # Event handler
+    visualize_btn.click(
+        fn=visualize_sensor_data,
+        inputs=[file_input],
+        outputs=[plot_output, status_output]
+    )
+    
+    # Auto-load sample data on startup
+    demo.load(fn=lambda: (generate_sample_chart(), "📊 Sample data loaded. Upload your CSV to visualize your IoT data!"), 
+              outputs=[plot_output, status_output])
+
+if __name__ == "__main__":
+    demo.launch()