lewtun HF staff commited on
Commit
72d11c4
1 Parent(s): 9d5c632

Refactor app templates

Browse files
Files changed (1) hide show
  1. app.py +9 -8
app.py CHANGED
@@ -49,8 +49,8 @@ TASK_TO_DEFAULT_METRICS = {
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  ],
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  "entity_extraction": ["precision", "recall", "f1", "accuracy"],
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  "extractive_question_answering": [],
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- "translation": ["sacrebleu", "gen_len"],
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- "summarization": ["rouge1", "rouge2", "rougeL", "rougeLsum", "gen_len"],
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  }
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  SUPPORTED_TASKS = list(TASK_TO_ID.keys())
@@ -96,10 +96,11 @@ st.title("Evaluation as a Service")
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  st.markdown(
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  """
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  Welcome to Hugging Face's Evaluation as a Service! This application allows
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- you to evaluate 🤗 Transformers models with a dataset on the Hub. Please
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- select the dataset and configuration below. The results of your evaluation
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- will be displayed on the public leaderboard
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- [here](https://huggingface.co/spaces/autoevaluate/leaderboards).
 
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  """
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  )
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@@ -302,6 +303,7 @@ with st.expander("Advanced configuration"):
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  col_mapping[answers_text_col] = "answers.text"
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  col_mapping[answers_start_col] = "answers.answer_start"
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  st.markdown("**Select metrics**")
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  st.markdown("The following metrics will be computed")
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  html_string = " ".join(
@@ -327,7 +329,6 @@ with st.expander("Advanced configuration"):
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  with st.form(key="form"):
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  compatible_models = get_compatible_models(selected_task, selected_dataset)
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-
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  selected_models = st.multiselect("Select the models you wish to evaluate", compatible_models)
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  print("Selected models:", selected_models)
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@@ -345,7 +346,7 @@ with st.form(key="form"):
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  if submit_button:
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  if len(selected_models) > 0:
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- project_id = str(uuid.uuid4())
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  payload = {
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  "username": AUTOTRAIN_USERNAME,
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  "proj_name": f"eval-project-{project_id}",
 
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  ],
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  "entity_extraction": ["precision", "recall", "f1", "accuracy"],
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  "extractive_question_answering": [],
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+ "translation": ["sacrebleu"],
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+ "summarization": ["rouge1", "rouge2", "rougeL", "rougeLsum"],
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  }
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  SUPPORTED_TASKS = list(TASK_TO_ID.keys())
 
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  st.markdown(
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  """
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  Welcome to Hugging Face's Evaluation as a Service! This application allows
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+ you to evaluate [Transformers
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+ models](https://huggingface.co/models?library=transformers&sort=downloads)
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+ with a dataset on the Hub. Please select the dataset and configuration
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+ below. The results of your evaluation will be displayed on the [public
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+ leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards).
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  """
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  )
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  col_mapping[answers_text_col] = "answers.text"
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  col_mapping[answers_start_col] = "answers.answer_start"
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+ # Select metrics
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  st.markdown("**Select metrics**")
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  st.markdown("The following metrics will be computed")
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  html_string = " ".join(
 
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  with st.form(key="form"):
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  compatible_models = get_compatible_models(selected_task, selected_dataset)
 
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  selected_models = st.multiselect("Select the models you wish to evaluate", compatible_models)
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  print("Selected models:", selected_models)
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  if submit_button:
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  if len(selected_models) > 0:
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+ project_id = str(uuid.uuid4())[:8]
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  payload = {
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  "username": AUTOTRAIN_USERNAME,
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  "proj_name": f"eval-project-{project_id}",