add route

app.py

@@ -1,6 +1,6 @@
 import torch
 from PIL import Image
-from fastapi import FastAPI, HTTPException
+from fastapi import FastAPI, HTTPException,Request
 from fastapi.middleware.cors import CORSMiddleware
 from transformers import AutoProcessor, AutoModelForVision2Seq
 from pydantic import BaseModel
@@ -33,7 +33,7 @@ class PredictRequest(BaseModel):
     imageBase64URL: str 
     
     
-@app.post("/v1/chat/completions")
+@app.post("/predict")
 async def predict(request: PredictRequest):
     try:
         header, base64_string = request.imageBase64URL.split(',', 1)
@@ -62,5 +62,7 @@ async def predict(request: PredictRequest):
 
 
 @app.get("/")
-async def read_root():
+async def read_root(request: Request):
+    current_path = request.url.path 
+    print(f"Received GET request at path: {current_path}") 
     return {"message": "SmolVLM-500M API is running!"}