Use correct pipeline configs

app.py

@@ -8,22 +8,22 @@ from huggingface_hub import model_info
 #MODEL_NAME = "ihanif/whisper-medium-ps-augmented" #this always needs to stay in line 8 :D sorry for the hackiness
 # MODEL_NAME = "ihanif/whisper-turbo-ar"
 MODEL_NAME = "ihanif/whisper-base-cv20-v1" #"ihanif/whisper-small-tunning-v2"
-lang = "Pashto"
+lang = "ps"
 task="transcribe"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     task="automatic-speech-recognition",
     model=MODEL_NAME,
-    chunk_length_s=30,
+    # chunk_length_s=30,
     device=device,
 )
 
 # pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task=task)
 
-pipe.model.generation_config.language = lang
-pipe.model.generation_config.task = task
-pipe.model.generation_config.forced_decoder_ids = None
+# pipe.model.generation_config.language = lang
+# pipe.model.generation_config.task = task
+# pipe.model.generation_config.forced_decoder_ids = None
 
 def transcribe(microphone, file_upload):
     warn_output = ""