Upload app.py with huggingface_hub

app.py

@@ -1,31 +1,40 @@
 
 from sentence_transformers import SentenceTransformer, util
-import gradio as gr
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+import uvicorn
+
+app = FastAPI()
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
 
 model = SentenceTransformer("mon2hf/devops-job-matcher")
 
-def match_job(job_description: str, profile_text: str):
-    if not job_description.strip() or not profile_text.strip():
-        return {"error": "Both fields required"}
-    job_emb  = model.encode(job_description, convert_to_tensor=True)
-    prof_emb = model.encode(profile_text,    convert_to_tensor=True)
+class MatchRequest(BaseModel):
+    job_description: str
+    profile_text: str
+
+@app.get("/")
+def root():
+    return {"status": "running", "model": "devops-job-matcher"}
+
+@app.post("/match")
+def match_job(req: MatchRequest):
+    job_emb  = model.encode(req.job_description, convert_to_tensor=True)
+    prof_emb = model.encode(req.profile_text,    convert_to_tensor=True)
     score    = float(util.cos_sim(job_emb, prof_emb)[0][0])
     conf     = round(score * 100, 1)
     return {
         "match_score": conf,
-        "apply": conf >= 70,
-        "label": "Strong match" if conf >= 80 else "Good match" if conf >= 70 else "Weak match"
+        "apply":       conf >= 70,
+        "label":       "Strong match" if conf >= 80 else "Good match" if conf >= 70 else "Weak match"
     }
 
-demo = gr.Interface(
-    fn=match_job,
-    inputs=[
-        gr.Textbox(label="Job Description", lines=6),
-        gr.Textbox(label="Your Profile", lines=6),
-    ],
-    outputs=gr.JSON(label="Match Result"),
-    title="DevOps Job Matcher API",
-)
-
-demo.queue(default_concurrency_limit=5)
-demo.launch()
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)