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README.md

@@ -3,8 +3,8 @@ title: Jenkins Error Explainer
 emoji: 🔧
 colorFrom: blue
 colorTo: green
-sdk: docker
-sdk_version: "3.12"
+sdk: gradio
+sdk_version: "4.0.0"
 app_file: app.py
 pinned: false
 ---

app.py

@@ -1,9 +1,31 @@
-# app.py - Entry point for HuggingFace Spaces
+# app.py - Entry point for HuggingFace Spaces (Gradio)
 import sys
 sys.path.insert(0, ".")
 
-from main import app
+import gradio as gr
+from explain_error import explain_error
 
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+def explain_jenkins_error(log_text):
+    """Explain Jenkins error from log text."""
+    if not log_text.strip():
+        return "Please provide a Jenkins error log."
+    result = explain_error(log_text)
+    return f"""**Error Category:** {result['error_category']}
+
+**Summary:** {result['summary']}
+
+**Likely Causes:**
+{chr(10).join('- ' + cause for cause in result['likely_causes'])}
+
+**References:**
+{chr(10).join('- ' + ref for ref in result['references'])}"""
+
+demo = gr.Interface(
+    fn=explain_jenkins_error,
+    inputs=gr.Textbox(label="Jenkins Error Log", placeholder="Paste your Jenkins error log here..."),
+    outputs=gr.Markdown(label="Explanation"),
+    title="Jenkins Error Explainer",
+    description="AI-powered Jenkins pipeline error diagnosis using RAG"
+)
+
+demo.launch()

main.py

@@ -1,6 +1,5 @@
 from fastapi import FastAPI
 from explain_error import explain_error
-from langchain_rag import get_rag_chain
 
 app = FastAPI()
 
@@ -12,9 +11,3 @@ def home():
 def explain(payload: dict):
     log = payload["log_text"]
     return explain_error(log)
-
-@app.post("/explain-rag")
-def explain_with_rag(payload: dict):
-    log = payload["log_text"]
-    rag_chain = get_rag_chain()
-    return rag_chain.explain_error(log)

requirements.txt

@@ -1,15 +1,7 @@
 fastapi
 uvicorn[standard]
 sentence-transformers
-huggingface_hub
 faiss-cpu
 numpy
 pydantic
-torch
-transformers
-tokenizers
-langchain
-langchain-core
-langchain-community
-langchain-huggingface
-chromadb
+gradio

retrieve_docs.py

@@ -19,8 +19,8 @@ QUERY_TEMPLATES = {
     "git_authentication_error": "Jenkins git authentication failed checkout"
 }
 model = SentenceTransformer(
-    "paraphrase-MiniLM-L3-v2",
-    cache_folder="./model_cache"
+    "all-MiniLM-L6-v2",
+    cache_folder="./models"
 )
 
 def retrieve_docs(error_category: str):