refact: added the handshake part

.env-example

@@ -0,0 +1,2 @@
+MY_SECRET_TOKEN="SECRET_CODE_TOKEN"
+

features/text_classifier/controller.py

@@ -1,13 +1,27 @@
 from .inferencer import classify_text
 import asyncio
-from fastapi import HTTPException, UploadFile
+from fastapi import HTTPException, UploadFile,status,Depends
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
 from .preprocess import parse_docx, parse_pdf, parse_txt
 from nltk.tokenize import sent_tokenize
-
+import os
 from io import BytesIO
 import logging
 
 
+security = HTTPBearer()
+
+async def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
+    token = credentials.credentials
+    if token != os.getenv("MY_SECRET_TOKEN"):  # Replace with your actual secret
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN,
+            detail="Invalid or expired token"
+        )
+    return token
+
+
+
 
 async def handle_text_analysis(text: str):
     text = text.strip()

features/text_classifier/routes.py

@@ -1,24 +1,14 @@
-from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, status
-from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+from fastapi import APIRouter, Depends, HTTPException, UploadFile, File 
+from fastapi.security import HTTPBearer 
 from pydantic import BaseModel
 from .controller import handle_text_analysis, handle_file_upload, handle_sentence_level_analysis, handle_file_sentance
-import os
-
+from .controller import verify_token
 router = APIRouter()
 security = HTTPBearer()
 
 class TextInput(BaseModel):
     text: str
 
-async def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
-    token = credentials.credentials
-    if token != os.getenv("MY_SECRET_TOKEN"):  # Replace with your actual secret
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Invalid or expired token"
-        )
-    return token
-
 @router.post("/analyse")
 async def analyze(data: TextInput, token: str = Depends(verify_token)):
     return await handle_text_analysis(data.text)