test with forced pytorch

README.md

@@ -1,6 +1,6 @@
 ---
 title: Nanospeech
-emoji: 🔥
+emoji: 🎤
 colorFrom: gray
 colorTo: gray
 sdk: gradio
@@ -8,7 +8,7 @@ sdk_version: 5.15.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: '(Unofficial) Demo of Nanospeech by lucasnewman '
+short_description: '(Unofficial) Demo of Nanospeech by lucasnewman'
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+

app.py

@@ -11,15 +11,8 @@ import numpy as np
 from typing import Optional, Literal
 import importlib.util
 
-if importlib.util.find_spec("mlx") is not None:
-    from nanospeech.nanospeech_mlx import Nanospeech
-    MODEL_RUNTIME = 'MLX'
-elif importlib.util.find_spec("torch") is not None:
-    from nanospeech.nanospeech_torch import Nanospeech
-    MODEL_RUNTIME = 'Torch'
-else:
-    raise ValueError("No model runtime found")
-
+from nanospeech.nanospeech_torch import Nanospeech
+MODEL_RUNTIME = 'Torch'
 # Note: gradio expects audio as int16, so we need to convert to float32 when loading and convert back when returning
 
 def convert_audio_int16_to_float32(audio: np.ndarray) -> np.ndarray: