Update api_app.py

api_app.py

@@ -7,8 +7,8 @@ import os
 
 app = FastAPI(title="QA Dashboard Pro")
 
-# Load your fine-tuned model
 MODEL_PATH = "MedhaCodes/qna_finetuned_model"
+
 qa_pipeline = pipeline(
     "question-answering",
     model=AutoModelForQuestionAnswering.from_pretrained(MODEL_PATH),
@@ -38,7 +38,6 @@ async def predict(request: Request):
     if not context or not questions_text:
         return JSONResponse({"error": "Please provide both context and question"}, status_code=400)
 
-    # Handle multiple questions line-by-line
     questions = [q.strip() for q in questions_text.strip().split("\n") if q.strip()]
     answers = []