Create app.py
Browse files
app.py
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import gradio as gr
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import random
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def predict_maintenance(equipment, hours, vibration, temp):
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risk_score = round(random.uniform(10, 95), 1)
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days_until = random.randint(5, 120)
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confidence = round(random.uniform(75, 98), 1)
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if risk_score > 70:
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status = "⚠️ High Risk"
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color = "red"
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elif risk_score > 40:
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status = "🟡 Medium Risk"
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color = "orange"
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else:
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status = "✅ Low Risk"
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color = "green"
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result = f"""## {status}
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**Equipment**: {equipment}
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**Operating Hours**: {hours}
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**Vibration Level**: {vibration}
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**Temperature**: {temp}°C
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### Predictive Analysis
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- **Failure Risk Score**: {risk_score}%
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- **Estimated Days Until Maintenance**: {days_until} days
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- **Prediction Confidence**: {confidence}%
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**Recommendation**: {'Schedule immediate inspection' if risk_score > 70 else 'Monitor regularly' if risk_score > 40 else 'Continue normal operations'}
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---
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**Anktechsol** - Predictive Maintenance AI
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🔗 [Learn more](https://anktechsol.com)"""
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return result
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with gr.Blocks(title="Predictive Maintenance") as demo:
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gr.Markdown("# 🔧 AI-Powered Predictive Maintenance")
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gr.Markdown("Industrial equipment failure prediction - **Anktechsol**")
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with gr.Row():
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with gr.Column():
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equipment = gr.Dropdown(["Motor A1", "Pump B2", "Compressor C3", "Conveyor D4"], label="Equipment", value="Motor A1")
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hours = gr.Slider(0, 10000, value=5000, label="Operating Hours")
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vibration = gr.Slider(0, 100, value=45, label="Vibration Level (mm/s)")
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temp = gr.Slider(20, 100, value=65, label="Temperature (°C)")
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btn = gr.Button("Predict Maintenance")
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with gr.Column():
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output = gr.Markdown()
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btn.click(predict_maintenance, inputs=[equipment, hours, vibration, temp], outputs=output)
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gr.Markdown("""---
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### Anktechsol - Predictive Maintenance Experts
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AI-driven industrial maintenance solutions. [Contact us](https://anktechsol.com)""")
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demo.launch()
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