Update app.py

app.py

@@ -13,7 +13,7 @@ from transformers import WhisperProcessor, WhisperForConditionalGeneration, pipe
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load model and processor
-model_id = "rbcurzon/whisper-small-fil"
+model_id = "rbcurzon/whisper-small-tgl"
 pipe = pipeline("automatic-speech-recognition", 
                 model=model_id,
                 chunk_length_s=30,
@@ -72,13 +72,16 @@ async def test(
             raise Exception("The speech is difficult to understand.")
         
         translatedResult = translate(result['text'], srcLang=srcLang, tgtLang=tgtLang)
-    
-        return {
+
+        result_dict = {
             "transcribed_text": result['text'], 
             "translated_text": translatedResult, 
             "srcLang": srcLang, 
             "tgtLang": tgtLang
-        }
+        } 
+        print(result_dict)
+        
+        return result_dict
        
     except Exception as error:
         print("Error: ", str(error))