Update app.py

app.py

@@ -0,0 +1,59 @@
+# app.py
+import gradio as gr
+from fastapi import FastAPI, HTTPException, Query
+from pydantic import BaseModel
+from fastapi.middleware.cors import CORSMiddleware
+from embeddingonnx import text_to_embedding, query_to_embedding
+
+app = FastAPI(title="Arabic Text Embedding API")
+
+# CORS
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+class TextRequest(BaseModel):
+    text: str
+
+# REST API endpoints
+@app.get("/")
+def root():
+    return {"message": "✅ Arabic Text Embedding API is running on HF Spaces"}
+
+@app.get("/health")
+def health():
+    return {"status": "ok"}
+
+@app.post("/embed")
+def embed_post(req: TextRequest):
+    vec = text_to_embedding(req.text.strip())
+    return {"embedding": vec.tolist()}
+
+@app.post("/query")
+def query_post(req: TextRequest):
+    vec = query_to_embedding(req.text.strip())
+    return {"query_embedding": vec.tolist()}
+
+# Gradio interface
+def gradio_embed(text):
+    if not text.strip():
+        return "❌ النص فارغ"
+    vec = text_to_embedding(text.strip())
+    return str(vec.tolist())
+
+demo = gr.Interface(
+    fn=gradio_embed,
+    inputs="text",
+    outputs="text",
+    title="Arabic Text Embedding",
+    description="قم بإدخال نص عربي للحصول على متجه embedding الخاص به."
+)
+
+# mount Gradio app على FastAPI
+gr.mount_gradio_app(app, demo, path="/gradio")
+
+# ❌ لا تحتاج uvicorn.run في Spaces