dont pass in model to decorated function, hopefully will fix pickle error

app.py

@@ -63,7 +63,7 @@ def convert_audio(audio_filepath, tmpdir, utt_id):
 	return out_filename, duration
 
 @spaces.GPU
-def transcribe(manifest_filepath, model, model_stride_in_secs, audio_duration, duration_limit):
+def transcribe(manifest_filepath, audio_duration, duration_limit):
 	"""
 	Transcribe audio using either model.transcribe or buffered inference.
 	Duration limit determines which method to use and what chunk size will 
@@ -182,7 +182,7 @@ def on_go_btn_click(audio_filepath, src_lang, tgt_lang, pnc, gen_ts):
 	
   
 		if gen_ts == "yes": # if will generate timestamps
-			output = transcribe(manifest_filepath, model, model_stride_in_secs, audio_duration=duration, duration_limit=10.0)
+			output = transcribe(manifest_filepath, audio_duration=duration, duration_limit=10.0)
 
 			# process output to get word and segment level timestamps
 			word_level_timestamps = output[0].timestamp["word"]
@@ -201,7 +201,7 @@ def on_go_btn_click(audio_filepath, src_lang, tgt_lang, pnc, gen_ts):
 			output_html += "</div>\n"
 
 		else: # if will not generate timestamps
-			output = transcribe(manifest_filepath, model, model_stride_in_secs, audio_duration=duration, duration_limit=40.0)
+			output = transcribe(manifest_filepath, audio_duration=duration, duration_limit=40.0)
 
 			if taskname == "asr":
 				output_html += "<div class='heading'>Transcript</div>\n"