Create app.py

app.py

@@ -0,0 +1,39 @@
+from fastapi import FastAPI
+import sqlite3
+import os
+
+app = FastAPI()
+
+# Database ka path (Hugging Face Dataset se connect karne ke liye)
+# Agar aapne database isi Space mein upload kiya hai toh:
+DB_PATH = "Telegram_Master_DB.db" 
+
+@app.get("/search")
+def search(num: str = None, id: str = None):
+    if not os.path.exists(DB_PATH):
+        return {"error": "Database file nahi mili bhai!"}
+    
+    conn = sqlite3.connect(DB_PATH)
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    result = None
+    if num:
+        cursor.execute("SELECT * FROM users WHERE phone = ?", (num,))
+        result = cursor.fetchone()
+    elif id:
+        cursor.execute("SELECT * FROM users WHERE user_id = ?", (id,))
+        result = cursor.fetchone()
+        
+    conn.close()
+    
+    if result:
+        return {
+            "status": "success",
+            "data": dict(result)
+        }
+    return {"status": "error", "message": "Data nahi mila!"}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)