fix import; resolves #46 (#47)

* fix import issues.

* bump version.

src/alpaca_farm/__init__.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.1.4"
+__version__ = "0.1.5"

src/alpaca_farm/auto_annotations/__init__.py

@@ -12,5 +12,5 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from .eval import *
-from .pairwise_annotators import *
+from .eval import alpaca_leaderboard
+from .pairwise_annotators import PairwiseAutoAnnotator

src/alpaca_farm/auto_annotations/eval.py

@@ -5,10 +5,8 @@
 import datasets
 import pandas as pd
 
-from alpaca_farm import constants
-from alpaca_farm.auto_annotations import PairwiseAutoAnnotator
-from alpaca_farm.auto_annotations.analysis import head2head_to_metrics
-
+from .. import constants
+from . import analysis, pairwise_annotators
 from . import utils as ann_utils
 
 __all__ = ["alpaca_leaderboard"]
@@ -133,9 +131,9 @@ def alpaca_leaderboard(
  We are computing the metrics on all examples you gave."""
  )
 
- annotator = PairwiseAutoAnnotator(annotators_config=annotators_config, **kwargs)
+ annotator = pairwise_annotators.PairwiseAutoAnnotator(annotators_config=annotators_config, **kwargs)
  annotated = annotator.annotate_head2head(outputs_1=outputs_baseline, outputs_2=all_outputs)
- all_metrics[name] = head2head_to_metrics(preferences=[a["preference"] for a in annotated])
+ all_metrics[name] = analysis.head2head_to_metrics(preferences=[a["preference"] for a in annotated])
 
  df_results = pd.DataFrame(all_metrics).T.sort_values(by="win_rate", ascending=False)