update florence test

tests/smoke/test_florence2.py

@@ -5,6 +5,8 @@
 
 import xinfer
 
+TEST_DATA_DIR = Path(__file__).parent.parent / "test_data"
+
 
 @pytest.fixture
 def model():
@@ -14,8 +16,11 @@ def model():
 
 
 @pytest.fixture
-def test_image():
-    return str(Path(__file__).parent.parent / "test_data" / "test_image_1.jpg")
+def test_images():
+    return [
+        str(TEST_DATA_DIR / "test_image_1.jpg"),
+        str(TEST_DATA_DIR / "test_image_2.jpg"),
+    ]
 
 
 def test_florence2_initialization(model):
@@ -24,17 +29,21 @@ def test_florence2_initialization(model):
     assert model.dtype == torch.float32
 
 
-def test_florence2_inference(model, test_image):
+def test_florence2_inference(model, test_images):
     prompt = "<CAPTION>"
-    result = model.infer(test_image, prompt)
+    result = model.infer(test_images[0], prompt)
 
-    assert isinstance(result, str)
-    assert len(result) > 0
+    assert isinstance(result.text, str)
+    assert len(result.text) > 0
 
 
-def test_florence2_batch_inference(model, test_image):
+def test_florence2_batch_inference(model, test_images):
     prompt = "<CAPTION>"
-    result = model.infer_batch([test_image, test_image], [prompt, prompt])
+    result = model.infer_batch(test_images, [prompt, prompt])
 
     assert isinstance(result, list)
     assert len(result) == 2
+    assert isinstance(result[0].text, str)
+    assert isinstance(result[1].text, str)
+    assert len(result[0].text) > 0
+    assert len(result[1].text) > 0

xinfer/transformers/florence2.py

@@ -47,7 +47,7 @@ def load_model(self):
     @track_inference
     def infer(self, image: str, text: str, **generate_kwargs) -> Result:
         output = self.infer_batch([image], [text], **generate_kwargs)
-        return Result(text=output[0])
+        return output[0]
 
     @track_inference
     def infer_batch(
@@ -81,6 +81,4 @@ def infer_batch(
             for text, prompt, img in zip(generated_text, texts, images)
         ]
 
-        results = [Result(text=text) for text in parsed_answers]
-
-        return results
+        return [Result(text=text) for text in parsed_answers]