Delete audio2text

audio2text/a2t.py

@@ -1,43 +0,0 @@
-import numpy as np
-import librosa
-import io
-
-from .init import pipe
-
-TASK = "transcribe"
-BATCH_SIZE = 8
-
-class A2T:
-    def __init__(self, mic):
-        self.mic = mic
-
-    def __generate_text(self, inputs, task: str = None):
-        if inputs is  None:
-            raise Exception("Inputs is None")
-
-        transcribed_text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-        return transcribed_text
-
-    def __preprocces(self, raw: bytes):
-        print(f"Raw type : {type(raw)}")
-        chunk = io.BytesIO(raw)
-        audio, sample_rate = librosa.load(chunk, sr=16000)
-        print(f"Sample rate : {sample_rate}")
-        return audio
- 
-    def predict(self):
-        try:
-            if self.mic is not None:
-                raw = self.mic
-                audio = self.__preprocces(raw=raw)
-                print(f"audio type : {type(audio)} \n shape : {audio.shape} \n audio max value : {np.max(audio)}")
-            else:
-                raise Exception("please provide audio")
-
-            if isinstance(audio , np.ndarray):
-                return self.__generate_text(inputs=audio, task=TASK)
-            else:
-                raise Exception("Audio is not np array")
-                
-        except Exception as e:
-            return f"Oops some kinda error : {e}"

audio2text/init.py

@@ -1,16 +0,0 @@
-import torch
-
-from transformers import pipeline
-
-# ArticMonkey:19.03.24:1700 example of version name in plaintext  will be convert into hex using this site -> https://magictool.ai/tool/text-to-hex-converter/
-# Here ArticMonkey is name of version and rest of all is data and time
-
-device = 0 if torch.cuda.is_available() else "cpu"
-
-checkpoint = "openai/whisper-medium"
-pipe = pipeline(
-    "automatic-speech-recognition",
-    model=checkpoint,
-    device=device,
-    chunk_length_s=30, 
-)