python3Packages.gradio: 6.5.1 -> 6.8.0

Diff: https://github.com/gradio-app/gradio/compare/gradio@6.5.1...gradio@6.8.0

Changelog: https://github.com/gradio-app/gradio/releases/tag/gradio@6.8.0

pkgs/development/python-modules/gradio/default.nix

@@ -79,41 +79,33 @@ let
   nodejs = nodejs_24;
   pnpm = pnpm_10.override { inherit nodejs; };
 in
-buildPythonPackage rec {
+buildPythonPackage (finalAttrs: {
   pname = "gradio";
-  version = "6.5.1";
+  version = "6.8.0";
   pyproject = true;
 
   src = fetchFromGitHub {
     owner = "gradio-app";
     repo = "gradio";
-    tag = "gradio@${version}";
-    hash = "sha256-pIcliKcb1eVVMk0ARzWcZGXc6pmI8mGVAvCJZ0JHXUw=";
+    tag = "gradio@${finalAttrs.version}";
+    hash = "sha256-ZHglnRs0AXCu9HlVoSO0h5p6SE4al/OLPn0jwZgKVR8=";
   };
 
+  patches = [
+    ./fix-transformers-pipelines-imports.patch
+  ];
+
   pnpmDeps = fetchPnpmDeps {
-    inherit
+    inherit (finalAttrs)
       pname
-      pnpm
       version
       src
       ;
+    inherit pnpm;
     fetcherVersion = 3;
     hash = "sha256-6Cx0hdVd0srhArvck2Kn9U2fT7aKtTZjgV5b/Usrnoo=";
   };
 
-  pythonRelaxDeps = [
-    "aiofiles"
-    "gradio-client"
-    "markupsafe"
-    "pydantic" # Requests >=2.11.10,<=2.12.4. Staging has it, master doesn't.
-  ];
-
-  pythonRemoveDeps = [
-    # this isn't a real runtime dependency
-    "ruff"
-  ];
-
   nativeBuildInputs = [
     zip
     nodejs
@@ -128,6 +120,10 @@ buildPythonPackage rec {
     hatch-fancy-pypi-readme
   ];
 
+  pythonRelaxDeps = [
+    "aiofiles"
+    "tomlkit"
+  ];
   dependencies = [
     aiofiles
     anyio
@@ -191,7 +187,7 @@ buildPythonPackage rec {
     # mock calls to `shutil.which(...)`
     (writeShellScriptBin "npm" "false")
   ]
-  ++ optional-dependencies.oauth
+  ++ finalAttrs.passthru.optional-dependencies.oauth
   ++ pydantic.optional-dependencies.email;
 
   preBuild = ''
@@ -216,6 +212,7 @@ buildPythonPackage rec {
 
     # requires network, it caught our xfail exception
     "test_error_analytics_successful"
+    "TestSnippetExecution"
 
     # Flaky, tries to pin dependency behaviour. Sensitive to dep versions
     # These error only affect downstream use of the check dependencies.
@@ -441,9 +438,9 @@ buildPythonPackage rec {
 
   meta = {
     homepage = "https://www.gradio.app/";
-    changelog = "https://github.com/gradio-app/gradio/releases/tag/gradio@${version}";
+    changelog = "https://github.com/gradio-app/gradio/releases/tag/${finalAttrs.src.tag}";
     description = "Python library for easily interacting with trained machine learning models";
     license = lib.licenses.asl20;
     maintainers = with lib.maintainers; [ pbsds ];
   };
-}
+})

pkgs/development/python-modules/gradio/fix-transformers-pipelines-imports.patch

@@ -0,0 +1,162 @@
+diff --git a/test/test_pipelines.py b/test/test_pipelines.py
+index 1903f758f..c40e6d3b1 100644
+--- a/test/test_pipelines.py
++++ b/test/test_pipelines.py
+@@ -3,20 +3,6 @@ from unittest.mock import MagicMock
+ 
+ import pytest
+ import transformers
+-from transformers import (
+-    AudioClassificationPipeline,
+-    AutomaticSpeechRecognitionPipeline,
+-    DocumentQuestionAnsweringPipeline,
+-    FeatureExtractionPipeline,
+-    FillMaskPipeline,
+-    ImageClassificationPipeline,
+-    ObjectDetectionPipeline,
+-    QuestionAnsweringPipeline,
+-    TextClassificationPipeline,
+-    TextGenerationPipeline,
+-    VisualQuestionAnsweringPipeline,
+-    ZeroShotClassificationPipeline,
+-)
+ 
+ import gradio as gr
+ from gradio.pipelines_utils import (
+@@ -24,6 +10,14 @@ from gradio.pipelines_utils import (
+ )
+ 
+ 
++def _get_pipeline_cls(name: str):
++    """Resolve a pipeline class by name from transformers, returning None if it
++    was removed in the installed version."""
++    return getattr(transformers, name, None) or getattr(
++        transformers.pipelines, name, None
++    )
++
++
+ @pytest.mark.flaky
+ def test_interface_in_blocks():
+     pipe1 = transformers.pipeline(model="deepset/roberta-base-squad2")  # type: ignore
+@@ -50,50 +44,66 @@ def test_transformers_load_from_pipeline():
+ 
+ 
+ class TestHandleTransformersPipelines(unittest.TestCase):
++    def _require(self, name: str):
++        """Return the pipeline class or skip the test if it was removed."""
++        cls = _get_pipeline_cls(name)
++        if cls is None:
++            self.skipTest(
++                f"{name} not available in transformers {transformers.__version__}"
++            )
++        return cls
++
+     def test_audio_classification_pipeline(self):
+-        pipe = MagicMock(spec=AudioClassificationPipeline)
++        cls = self._require("AudioClassificationPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Class"
+ 
+     def test_automatic_speech_recognition_pipeline(self):
+-        pipe = MagicMock(spec=AutomaticSpeechRecognitionPipeline)
++        cls = self._require("AutomaticSpeechRecognitionPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Output"
+ 
+     def test_object_detection_pipeline(self):
+-        pipe = MagicMock(spec=ObjectDetectionPipeline)
++        cls = self._require("ObjectDetectionPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input Image"
+         assert pipeline_info["outputs"].label == "Objects Detected"
+ 
+     def test_feature_extraction_pipeline(self):
+-        pipe = MagicMock(spec=FeatureExtractionPipeline)
++        cls = self._require("FeatureExtractionPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Output"
+ 
+     def test_fill_mask_pipeline(self):
+-        pipe = MagicMock(spec=FillMaskPipeline)
++        cls = self._require("FillMaskPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Classification"
+ 
+     def test_image_classification_pipeline(self):
+-        pipe = MagicMock(spec=ImageClassificationPipeline)
++        cls = self._require("ImageClassificationPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input Image"
+         assert pipeline_info["outputs"].label == "Classification"
+ 
+     def test_question_answering_pipeline(self):
+-        pipe = MagicMock(spec=QuestionAnsweringPipeline)
++        cls = self._require("QuestionAnsweringPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"][0].label == "Context"
+@@ -102,21 +112,24 @@ class TestHandleTransformersPipelines(unittest.TestCase):
+         assert pipeline_info["outputs"][1].label == "Score"
+ 
+     def test_text_classification_pipeline(self):
+-        pipe = MagicMock(spec=TextClassificationPipeline)
++        cls = self._require("TextClassificationPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Classification"
+ 
+     def test_text_generation_pipeline(self):
+-        pipe = MagicMock(spec=TextGenerationPipeline)
++        cls = self._require("TextGenerationPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"].label == "Input"
+         assert pipeline_info["outputs"].label == "Output"
+ 
+     def test_zero_shot_classification_pipeline(self):
+-        pipe = MagicMock(spec=ZeroShotClassificationPipeline)
++        cls = self._require("ZeroShotClassificationPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"][0].label == "Input"
+@@ -127,7 +140,8 @@ class TestHandleTransformersPipelines(unittest.TestCase):
+         assert pipeline_info["outputs"].label == "Classification"
+ 
+     def test_document_question_answering_pipeline(self):
+-        pipe = MagicMock(spec=DocumentQuestionAnsweringPipeline)
++        cls = self._require("DocumentQuestionAnsweringPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"][0].label == "Input Document"
+@@ -135,7 +149,8 @@ class TestHandleTransformersPipelines(unittest.TestCase):
+         assert pipeline_info["outputs"].label == "Label"
+ 
+     def test_visual_question_answering_pipeline(self):
+-        pipe = MagicMock(spec=VisualQuestionAnsweringPipeline)
++        cls = self._require("VisualQuestionAnsweringPipeline")
++        pipe = MagicMock(spec=cls)
+         pipeline_info = handle_transformers_pipeline(pipe)
+         assert pipeline_info is not None
+         assert pipeline_info["inputs"][0].label == "Input Image"