remove hugggingface auth login block

gateway/main.py

@@ -104,8 +104,8 @@ async def tts(
 ):
     lang = lang.lower() if lang else "hindi"
     
-    if lang == "marathi":
-        text = "     " + text + " "
+
+    text = "     " + text + " "
     
     for language, lang_code in Language_CODE.items():
         if language == lang:
@@ -123,8 +123,7 @@ async def tts(
     processed = transliterate(normalize(text))
     reference_text = transliterate(asr(ref_path, language_id))
     
-    if lang == "marathi":
-        reference_text = reference_text + "     "
+    reference_text = reference_text + "     "
 
     output_file = f"{uuid.uuid4()}.wav"
 
@@ -145,8 +144,7 @@ async def get_inference(
     
     lang = lang.lower() if lang else "hindi"
     
-    if lang == "marathi":
-        text = "     " + text + " "
+    text = "     " + text + " "
     
     for language, lang_code in Language_CODE.items():
         if language == lang:
@@ -166,8 +164,7 @@ async def get_inference(
     processed = transliterate(normalize(text))
     reference_text = transliterate(asr(ref_path, language_id))
     
-    if lang == "marathi":
-        reference_text = reference_text + "     "
+    reference_text = reference_text + "     "
 
     output_file = f"{uuid.uuid4()}.wav"
     

utils/model.py

@@ -1,6 +1,5 @@
 import torch
 from transformers import AutoModel
-from huggingface_hub import login
 
 
 class ModelManager:
@@ -12,12 +11,13 @@ class ModelManager:
 
     def __enter__(self):
         print("Loading model into memory...")
-
-        if self.hf_token:
-            login(token=self.hf_token)
+        print("HF Token received:", "YES" if self.hf_token else "NO")
 
         self.model = AutoModel.from_pretrained(
-            self.repo_id, ignore_mismatched_sizes=True, trust_remote_code=True
+            self.repo_id,
+            ignore_mismatched_sizes=True,
+            trust_remote_code=True,
+            token=self.hf_token
         ).to(self.device)
 
         print("Model loaded and ready!")
@@ -28,4 +28,5 @@ class ModelManager:
 
         del self.model
         torch.cuda.empty_cache()
+
         print("Model unloaded successfully.")