adding in MC template + parsing

#2
by Ezi - opened
Files changed (2) hide show
  1. app.py +18 -12
  2. mc_template.md +201 -0
app.py CHANGED
@@ -1,41 +1,47 @@
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  # %%
 
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  import pandas as pd
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  import gradio as gr
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  df = pd.read_csv("./data.csv")
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  def md_builder(model, dataset, displayed_metrics):
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  row = df[df["friendly_name"] == model]
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- str = (
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- f"## <span style='font-size: 16px;'>🚧 Performance and safety of <code style='font-weight: 400'>{model}</code></span>\n"
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- f"On dataset `{dataset}`\n"
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- )
 
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  if "Performance" in displayed_metrics:
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- str += f"\nPerformance: `{row['performance'].values[0]}`"
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  if "Accuracy" in displayed_metrics:
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- str += f"\nAccuracy: `{row['accuracy'].values[0]}`"
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  if "Precision" in displayed_metrics:
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- str += f"\nPrecision: `{row['precision_weighted'].values[0]}`"
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  if "Recall" in displayed_metrics:
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- str += f"\nRecall: `{row['recall_weighted'].values[0]}`"
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  if "Robustness" in displayed_metrics:
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- str += f"\nRobustness: `{100-row['robustness'].values[0]}`"
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  if "Fairness" in displayed_metrics:
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- str += f"\nFairness: `{0}`"
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  if "Failure Clusters" in displayed_metrics:
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  cl_count = row['cluster_count'].values[0]
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- str += f"\n<details><summary>Top failures: <code>{row['top_failure_cluster'].values[0]}</code> (+{cl_count - 1} others)</summary>(details for all {cl_count} clusters)</details>"
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  str += "\n<div style='text-align: right'>⛶ Expand safety card</div>"
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-
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  return str
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  # %%
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+ from jinja2 import Environment, FileSystemLoader
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  import pandas as pd
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  import gradio as gr
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  df = pd.read_csv("./data.csv")
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+ def parse_into_jinja_markdown(model_name, performance,accuracy,Precision, Recall, Robustness, Fairness, Failure_Clusters ):
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+ env = Environment(loader=FileSystemLoader('.'), autoescape=True)
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+ temp = env.get_template('mc_template.md')
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+ return( temp.render(model_id =model_name, accuracy=accuracy,Precision=Precision,Recall=Recall,Robustness=Robustness,Fairness=Fairness,Performance =performance, Failure_Cluster=Failure_Clusters))
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  def md_builder(model, dataset, displayed_metrics):
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  row = df[df["friendly_name"] == model]
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+ str = ""
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+ ## f"# <span style='font-size: 16px;'> Model Card for <code style='font-weight: 400'>{model}</code></span>\n"
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+ ##f"On dataset `{dataset}`\n"
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+
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+ ## )
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  if "Performance" in displayed_metrics:
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+ perform_val = f"\nPerformance: `{row['performance'].values[0]}`"
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  if "Accuracy" in displayed_metrics:
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+ accuracy_val= f"\nAccuracy: `{row['accuracy'].values[0]}`"
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  if "Precision" in displayed_metrics:
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+ precision_val= f"\nPrecision: `{row['precision_weighted'].values[0]}`"
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  if "Recall" in displayed_metrics:
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+ recall_val= f"\nRecall: `{row['recall_weighted'].values[0]}`"
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  if "Robustness" in displayed_metrics:
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+ robustness_val = f"\nRobustness: `{100-row['robustness'].values[0]}`"
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  if "Fairness" in displayed_metrics:
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+ fairness_val = f"\nFairness: `{0}`"
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  if "Failure Clusters" in displayed_metrics:
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  cl_count = row['cluster_count'].values[0]
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+ fail_cluster = f"\nTop failures: {row['top_failure_cluster'].values[0]}(+{cl_count - 1} others)(details for all {cl_count} clusters)"
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  str += "\n<div style='text-align: right'>⛶ Expand safety card</div>"
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+ str = parse_into_jinja_markdown(model,perform_val,accuracy_val,precision_val,recall_val,robustness_val,fairness_val,fail_cluster)
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  return str
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mc_template.md ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ # Model Card for {{ model_id }}
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ {{ Fairness | default("More information needed", true)}}
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ {{Failure_Cluster}}
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Data Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ {{ accuracy | default("More information needed", true)}}
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+ {{ Precision}}
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+ {{Recall}}
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+ {{Performance}}
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+ {{Robustness}}
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+
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]