debug misaligned sentences

app.py

@@ -86,6 +86,7 @@ def identify_misaligned_sentences(reference_text, hypothesis_text):
     misaligned = []
     for i, (ref, hyp) in enumerate(zip(reference_sentences, hypothesis_sentences)):
         if ref != hyp:
+            print(f"Debug: Found misalignment in sentence {i+1}")
             # Find the first position where the sentences diverge
             min_len = min(len(ref), len(hyp))
             misalignment_start = 0
@@ -105,7 +106,7 @@ def identify_misaligned_sentences(reference_text, hypothesis_text):
                 "context_ref": context_ref,
                 "context_hyp": context_hyp
             })
-
+    print(f"Debug: Total misaligned sentences found: {len(misaligned)}")
     return misaligned
 
 def format_sentence_metrics(sentence_wers, sentence_cers, average_wer, average_cer, std_dev_wer, std_dev_cer, misaligned_sentences):
@@ -129,12 +130,16 @@ def format_sentence_metrics(sentence_wers, sentence_cers, average_wer, average_c
         md += "\n### Misaligned Sentences\n\n"
         for misaligned in misaligned_sentences:
             md += f"#### Sentence {misaligned['index']}\n"
-            md += f"* Reference: {misaligned['context_ref']}\n"
-            md += f"* Hypothesis: {misaligned['context_hyp']}\n"
+            md += f"* Reference: {misaligned['reference']}\n"
+            md += f"* Hypothesis: {misaligned['hypothesis']}\n"
             md += f"* Misalignment starts at position: {misaligned['misalignment_start']}\n\n"
+    else:
+        md += "\n### Misaligned Sentences\n\n"
+        md += "* No misaligned sentences found."
 
     return md
 
+
 @spaces.GPU()
 def process_files(reference_file, hypothesis_file):
     try: