Add application file

app.py

@@ -93,7 +93,7 @@ async def run_ocr(file: UploadFile) -> str:
     content = await file.read()
     image_b64 = base64.b64encode(content).decode()
 
-    if len(image_b64) >= 180_000:
+    if len(image_b64) >= 500_000:
         raise HTTPException(
             status_code=413,
             detail="Image too large (base64 > 180 KB). Resize the image and try again.",
@@ -158,7 +158,7 @@ def call_llm(ocr_text: str, system_prompt: str) -> dict:
     }
 
     try:
-        llm_response = requests.post(LLM_URL, headers=LLM_HEADERS, json=llm_payload, timeout=60)
+        llm_response = requests.post(LLM_URL, headers=LLM_HEADERS, json=llm_payload, timeout=200)
         llm_response.raise_for_status()
         llm_json = llm_response.json()
         print("LLM Response JSON:", llm_json)