mahesh1209 commited on
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4f3d86c
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1 Parent(s): 61b8b65

Update app.py

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  1. app.py +25 -15
app.py CHANGED
@@ -1,24 +1,34 @@
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  import gradio as gr
 
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- def devops_agent(query):
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- query = query.lower()
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- if "pod status" in query:
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- return "βœ… All Kubernetes pods are running."
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- elif "restart jenkins" in query:
 
 
 
 
 
 
 
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  return "πŸ”„ Jenkins restarted successfully."
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- elif "deploy" in query:
 
 
 
 
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  return "πŸš€ Deployment triggered via CI/CD pipeline."
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- elif "check logs" in query:
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- return "πŸ“œ Logs retrieved: No errors found."
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- elif "disk usage" in query:
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- return "πŸ’½ Disk usage: 72% used, 28% free."
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  else:
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- return "πŸ€– Sorry, I didn’t understand that DevOps command."
 
 
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  gr.Interface(
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- fn=devops_agent,
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- inputs=gr.Textbox(lines=2, placeholder="e.g. Check pod status"),
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  outputs="text",
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- title="πŸ› οΈ DevOps AI Agent",
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- description="Enter a natural language DevOps command. The agent will simulate a response."
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  ).launch()
 
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  import gradio as gr
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+ from transformers import pipeline
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+ # Load open-source LLM (distilled for speed)
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+ qa_model = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
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+
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+ # Simulated DevOps context (can be replaced with real logs or docs)
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+ devops_context = """
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+ Kubernetes pods are running across three nodes. Jenkins is configured with two pipelines: build and deploy.
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+ Disk usage on node-1 is 72%. Recent logs show no errors. Deployment is triggered via GitHub Actions.
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+ """
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+
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+ def devops_qa_agent(query):
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+ # Rule-based fallback
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+ if "restart jenkins" in query.lower():
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  return "πŸ”„ Jenkins restarted successfully."
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+ elif "pod status" in query.lower():
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+ return "βœ… All Kubernetes pods are running."
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+ elif "disk usage" in query.lower():
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+ return "πŸ’½ Disk usage: 72% used on node-1."
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+ elif "deploy" in query.lower():
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  return "πŸš€ Deployment triggered via CI/CD pipeline."
 
 
 
 
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  else:
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+ # LLM-powered Q&A
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+ result = qa_model(question=query, context=devops_context)
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+ return f"πŸ€– LLM Answer: {result['answer']}"
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  gr.Interface(
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+ fn=devops_qa_agent,
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+ inputs=gr.Textbox(lines=2, placeholder="Ask a DevOps question..."),
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  outputs="text",
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+ title="πŸ› οΈ DevOps AI Agent with Open-Source LLM",
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+ description="Hybrid rule-based + LLM-powered Q&A agent. No API keys needed. Runs locally on Hugging Face Spaces."
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  ).launch()