Remove dependency on _is_package_available from transformers (#247)

src/smolagents/models.py

@@ -32,7 +32,6 @@ from transformers import (
     StoppingCriteriaList,
     is_torch_available,
 )
-from transformers.utils.import_utils import _is_package_available
 
 from .tools import Tool
 
@@ -48,9 +47,6 @@ DEFAULT_CODEAGENT_REGEX_GRAMMAR = {
     "value": "Thought: .+?\\nCode:\\n```(?:py|python)?\\n(?:.|\\s)+?\\n```<end_code>",
 }
 
-if _is_package_available("litellm"):
-    import litellm
-
 
 def get_dict_from_nested_dataclasses(obj):
     def convert(obj):
@@ -508,9 +504,11 @@ class LiteLLMModel(Model):
         api_key=None,
         **kwargs,
     ):
-        if not _is_package_available("litellm"):
+        try:
-            raise ImportError(
+            import litellm
-                "litellm not found. Install it with `pip install litellm`"
+        except ModuleNotFoundError:
+            raise ModuleNotFoundError(
+                "Please install 'litellm' extra to use LiteLLMModel: `pip install 'smolagents[litellm]'`"
             )
         super().__init__()
         self.model_id = model_id
@@ -530,6 +528,8 @@ class LiteLLMModel(Model):
         messages = get_clean_message_list(
             messages, role_conversions=tool_role_conversions
         )
+        import litellm
+
         if tools_to_call_from:
             response = litellm.completion(
                 model=self.model_id,

src/smolagents/types.py

@@ -12,6 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import importlib.util
 import logging
 import os
 import pathlib
@@ -25,7 +26,6 @@ from transformers.utils import (
     is_torch_available,
     is_vision_available,
 )
-from transformers.utils.import_utils import _is_package_available
 
 logger = logging.getLogger(__name__)
 
@@ -41,9 +41,6 @@ if is_torch_available():
 else:
     Tensor = object
 
-if _is_package_available("soundfile"):
-    import soundfile as sf
-
 
 class AgentType:
     """
@@ -187,11 +184,12 @@ class AgentAudio(AgentType, str):
     """
 
     def __init__(self, value, samplerate=16_000):
+        if importlib.util.find_spec("soundfile") is None:
+            raise ModuleNotFoundError(
+                "Please install 'audio' extra to use AgentAudio: `pip install 'smolagents[audio]'`"
+            )
         super().__init__(value)
 
-        if not _is_package_available("soundfile"):
-            raise ImportError("soundfile must be installed in order to handle audio.")
-
         self._path = None
         self._tensor = None
 
@@ -221,6 +219,8 @@ class AgentAudio(AgentType, str):
         """
         Returns the "raw" version of that object. It is a `torch.Tensor` object.
         """
+        import soundfile as sf
+
         if self._tensor is not None:
             return self._tensor
 
@@ -239,6 +239,8 @@ class AgentAudio(AgentType, str):
         Returns the stringified version of that object. In the case of an AgentAudio, it is a path to the serialized
         version of the audio.
         """
+        import soundfile as sf
+
         if self._path is not None:
             return self._path
 

src/smolagents/utils.py

@@ -15,6 +15,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import ast
+import importlib.util
 import inspect
 import json
 import re
@@ -22,13 +23,10 @@ import types
 from typing import Dict, Tuple, Union
 
 from rich.console import Console
-from transformers.utils.import_utils import _is_package_available
-
-_pygments_available = _is_package_available("pygments")
 
 
 def is_pygments_available():
-    return _pygments_available
+    return importlib.util.find_spec("soundfile") is not None
 
 
 console = Console(width=200)

tests/test_types.py

@@ -24,15 +24,9 @@ from transformers.testing_utils import (
     require_torch,
     require_vision,
 )
-from transformers.utils.import_utils import (
-    _is_package_available,
-)
 
 from smolagents.types import AgentAudio, AgentImage, AgentText
 
-if _is_package_available("soundfile"):
-    import soundfile as sf
-
 
 def get_new_path(suffix="") -> str:
     directory = tempfile.mkdtemp()
@@ -43,6 +37,7 @@ def get_new_path(suffix="") -> str:
 @require_torch
 class AgentAudioTests(unittest.TestCase):
     def test_from_tensor(self):
+        import soundfile as sf
         import torch
 
         tensor = torch.rand(12, dtype=torch.float64) - 0.5
@@ -62,6 +57,7 @@ class AgentAudioTests(unittest.TestCase):
         self.assertTrue(torch.allclose(tensor, torch.tensor(new_tensor), atol=1e-4))
 
     def test_from_string(self):
+        import soundfile as sf
         import torch
 
         tensor = torch.rand(12, dtype=torch.float64) - 0.5