Update app.py

app.py

@@ -14,7 +14,7 @@ def transcribe(audio):
     if sr != 16000:
         y = librosa.resample(y, orig_sr=sr, target_sr=16000)
     transcribed_text = transcriber({"sampling_rate": 16000, "raw": y})["text"]
-    punct_cap_text = punct_cap_model.infer(texts=[ukr_text], apply_sbd=True)[0][0]
+    punct_cap_text = punct_cap_model.infer(texts=[transcribed_text], apply_sbd=True)[0][0]
     return punct_cap_text