changed pipeline

impresso_langident_wrapper.py

@@ -1,37 +1,15 @@
-import floret  # Assuming Floret is already installed
-
-
-class FloretLangIdentifier:
-    def __init__(self, model_path):
-        self.model = floret.load_model(model_path)
-
-    def predict(self, text):
-        predictions = self.model.predict(text)
-        return predictions
-
-
-
-
-
-
 from transformers import Pipeline
-
-
-class MyPipeline(Pipeline):
+class Pipeline_One(Pipeline):
     def _sanitize_parameters(self, **kwargs):
-        preprocess_kwargs = {}
-        if "maybe_arg" in kwargs:
-            preprocess_kwargs["maybe_arg"] = kwargs["maybe_arg"]
-        return preprocess_kwargs, {}, {}
+        # Add any additional parameter handling if necessary
+        return kwargs, {}, {}
 
-    def preprocess(self, inputs, maybe_arg=2):
-        return inputs
+    def preprocess(self, text, **kwargs):
+        return text
 
-    def _forward(self, model_inputs):
-        # model_inputs == {"model_input": model_input}
-        outputs = self.model.predict_language(**model_inputs)
-        # Maybe {"logits": Tensor(...)}
-        return outputs
+    def _forward(self, inputs):
+        model_output = self.model.predict(inputs, k=1)
+        return model_output
 
-    def postprocess(self, model_outputs):
-        return model_outputs
+    def postprocess(self, outputs, **kwargs):
+        return outputs