Fixing the dimensions in extract_detected_entries_pdl()

Here there was an error with the dimensions returned:

txt shape: (7,) type: <class 'str'>
scores shape: (7,) type: <class 'float'>
boxes shape: (7, 4, 2) type: <class 'tuple'>

app.py

@@ -143,21 +143,16 @@ def extract_detected_entries_pdl(image):
     """
     # run the OCR
     result = ocr.ocr(image)
-    # creates the Pandas dataframe 
+    # creates Pandas Dataframe
     txt = []
     scores = []
     boxes = []
     for r in result[0]:
-      txt.append(cleanString_basic(r[-1][0]))
-      scores.append(r[-1][1])
-      boxes.append(r[0])
-
-    # Debugging: Print shapes and types of txt, scores, and boxes
-    print("txt shape:", np.shape(txt), "type:", type(txt[0]))
-    print("scores shape:", np.shape(scores), "type:", type(scores[0]))
-    print("boxes shape:", np.shape(boxes), "type:", type(boxes[0]))
-    
-    return pd.DataFrame(np.transpose([txt, scores, boxes]),columns = ["Text","Score", "Boundary Box"])
+        txt.append(cleanString_basic(r[-1][0]))
+        scores.append(r[-1][1])
+        boxes.append(tuple(map(tuple, r[0])))
+
+    return pd.DataFrame({"Text": txt, "Score": scores, "Boundary Box": boxes})
 
 def cleanString_basic(word):
   word = word.replace("$", "s")