add bhasini for hindi

app.py

@@ -34,8 +34,10 @@ def get_asr_model_processor(model_id):
         "model": model,
         "processor": processor
     }
-model_proc_dict  = get_asr_model_processor("vasista22/whisper-hindi-large-v2")
-asr_pipe = pipeline("automatic-speech-recognition", model=model_proc_dict["model"], tokenizer=model_proc_dict["processor"].tokenizer, feature_extractor=model_proc_dict["processor"].feature_extractor,device=device)
+
+ 
+#model_proc_dict  = get_asr_model_processor("vasista22/whisper-hindi-large-v2")
+#asr_pipe = pipeline("automatic-speech-recognition", model=model_proc_dict["model"], tokenizer=model_proc_dict["processor"].tokenizer, feature_extractor=model_proc_dict["processor"].feature_extractor,device=device)
 
 
 
@@ -49,10 +51,10 @@ def get_asr_output(audio_path,lang):
     transcription = openai.Audio.transcribe("whisper-1", file, language=lang)
     op_text = transcription.text
 
-    if lang == "hi":
+    """ if lang == "hi":
         op_text = asr_pipe("temp.wav")['text']
         print('whisper',transcription)
-        print('ai4b',op_text)
+        print('ai4b',op_text) """
     
     return op_text