init envs tocken

app.py

@@ -4,10 +4,18 @@ import numpy as np
 import sounddevice as sd
 import wave
 import os
-
+from huggingface_hub import InferenceClient, login
+from dotenv import load_dotenv
 app = Flask(__name__)
 
-processor = AutoProcessor.from_pretrained("facebook/seamless-m4t-v2-large")
+load_dotenv()
+hftoken = os.getenv("HF_TOKEN")
+
+
+
+login(token=hftoken)
+
+processor = AutoProcessor.from_pretrained("facebook/seamless-m4t-v2-large" )
 model = SeamlessM4Tv2Model.from_pretrained("facebook/seamless-m4t-v2-large")
 
 UPLOAD_FOLDER = "audio_files"

requirements.txt

@@ -3,4 +3,5 @@ torch
 torchaudio
 numpy
 sounddevice
-transformers
+transformers
+dotenv