#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# 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.
from pytorch_lightning import Trainer
from flash import download_data
from flash.text import TranslationData, TranslationTask
# 1. Download the data
download_data("https://pl-flash-data.s3.amazonaws.com/wmt_en_ro.zip", "data/")
# 2. Load the model from a checkpoint
model = TranslationTask.load_from_checkpoint(
"https://flash-weights.s3.amazonaws.com/translation_model_en_ro.pt")
# 2a. Translate a few sentences!
predictions = model.predict([
"BBC News went to meet one of the project's first graduates.",
"A recession has come as quickly as 11 months after the first rate hike and as long as 86 months.",
])
print(predictions)
# 2b. Or generate translations from a sheet file!
datamodule = TranslationData.from_file(
predict_file="data/wmt_en_ro/predict.csv",
input="input",
)
predictions = Trainer().predict(model, datamodule=datamodule)
print(predictions)
def test_load_from_checkpoint_dependency_error():
with pytest.raises(ModuleNotFoundError,
match=re.escape("'lightning-flash[text]'")):
TranslationTask.load_from_checkpoint("not_a_real_checkpoint.pt")
