Update app.py

app.py

@@ -317,19 +317,19 @@ def ask_gemini_for_mapping_for_page(model, image_path, grading_json, expected_id
     if expected_ids: 
         ids_block = "{\n" + "\n".join(expected_ids) + "\n}" 
     prompt = f"""
-You are an exam marker. Your role is to identify where each question begins on the page.
+You are an exam marker. Your task is to locate a blank cell adjacent to the answer step and place the marks there:
+Primary preference: Use the blank cell immediately to the right of the answer step.
+Fallback: If no blank cell is available on the right, use the blank cell immediately to the left..
 The page is divided into a {rows} x {cols} grid. Each cell has a RUNNING NUMBER label (1..{rows*cols}).
 For each question in the grading JSON, return the cell NUMBER where the FIRST STEP of that question begins.
-IMPORTANT: Only spot and return cell numbers for the following question IDs (one per line):
+IMPORTANT: For your help i have provided u questions that u can expect in the image  :
 {ids_block}
 If you see a sub-question (e.g., ii) above a main question (e.g., Q4), infer it belongs to the previous question (e.g., Q3.ii).
 - Do not place marks inside another question's answer area.
-- Each question should have unique cell number
-- Each question to be placed on diff rows 
-- If the page has only 1 written no other question around to find context whether it is question or subquestion always assume it to be Q1
-- Prefer placing the marks in a BLANK cell immediately to the RIGHT of the answer step. If no blank cell is available to the right, then place in a blank cell to the LEFT.
+- Each question should have unique cell number 
+- If a question serial number is visible in the answer image, you must mandatorily identify the corresponding question using the grading JSON.
 - Never place marks above or below the answer.
-- If a question starts on a previous page, you may omit it for this page.
+- Only if there is no serial number u may omit to select cell number for mark placement 
 Return JSON only, like:
 [{{"question": "1.a", "cell_number": 15}}, ...]
 Grading JSON: