Map internal task names to labels.

They are consistent with Hub Tasks when possible.

app.py

@@ -48,6 +48,27 @@ push_mapping = {
 }
 push_labels = list(push_mapping.keys())
 
+tasks_mapping = {
+    "default": "Feature Extraction",
+    "causal-lm": "Text Generation",
+    "ctc": "CTC (Connectionist Temporal Classification)",
+    "image-classification": "Image Classification",
+    "image-segmentation": "Image Segmentation",
+    "masked-im": "Image Fill-Mask",
+    "masked-lm": "Fill-Mask",
+    "multiple-choice": "Multiple Choice",
+    "next-sentence-prediction": "Next Sentence Prediction",
+    "object-detection": "Object Detection",
+    "question-answering": "Question Answering",
+    "semantic-segmentation": "Semantic Segmentation",
+    "seq2seq-lm": "Text to Text Generation",
+    "sequence-classification": "Text Classification",
+    "speech-seq2seq": "Speech to Speech Generation",
+    "token-classification": "Token Classification",
+}
+reverse_tasks_mapping = {v: k for k, v in tasks_mapping.items()}
+tasks_labels = list(tasks_mapping.keys())
+
 def error_str(error, title="Error", model=None, task=None, framework=None, compute_units=None, precision=None, tolerance=None, destination=None, open_discussion=True):
     if not error: return ""
 
@@ -123,6 +144,7 @@ def on_model_change(model):
 
         features = FeaturesManager.get_supported_features_for_model_type(model_type)
         tasks = list(features.keys())
+        tasks = [tasks_mapping[task] for task in tasks]
 
         frameworks = supported_frameworks(model)
         selected_framework = frameworks[0] if len(frameworks) > 0 else None
@@ -194,6 +216,7 @@ def convert(model_id, task,
             push_destination, destination_model, token,
             progress=gr.Progress()):
     model_id = url_to_model_id(model_id)
+    task = reverse_tasks_mapping[task]
     compute_units = compute_units_mapping[compute_units]
     precision = precision_mapping[precision]
     tolerance = tolerance_mapping[tolerance]