ezi_edits

app.py

@@ -1,87 +1,41 @@
 # %%
-from jinja2 import Environment, FileSystemLoader
 import pandas as pd
 import gradio as gr
 
 df = pd.read_csv("./data.csv")
 
 
-def parse_into_jinja_markdown(
-    model_name,
-    performance,
-    accuracy,
-    Precision,
-    Recall,
-    Robustness,
-    Fairness,
-    Failure_Clusters,
-):
-    env = Environment(loader=FileSystemLoader("."), autoescape=True)
-    temp = env.get_template("mc_template.md")
-    return temp.render(
-        model_id=model_name,
-        accuracy=accuracy,
-        Precision=Precision,
-        Recall=Recall,
-        Robustness=Robustness,
-        Fairness=Fairness,
-        Performance=performance,
-        Failure_Cluster=Failure_Clusters,
-    )
-
-
 def md_builder(model, dataset, displayed_metrics):
     row = df[df["friendly_name"] == model]
-    str = ""
-    ## f"# <span style='font-size: 16px;'> Model Card for <code style='font-weight: 400'>{model}</code></span>\n"
-    ##f"On dataset `{dataset}`\n"
-
-    ## )
-
-    # init vars to empty string
-    (
-        perform_val,
-        accuracy_val,
-        precision_val,
-        recall_val,
-        robustness_val,
-        fairness_val,
-        fail_cluster,
-    ) = ("", "", "", "", "", "", "")
+    str = (
+        f"## <span style='font-size: 16px;'>🚧 Performance and safety of <code style='font-weight: 400'>{model}</code></span>\n"
+        f"On dataset `{dataset}`\n"
+    )
 
     if "Performance" in displayed_metrics:
-        perform_val = f"\nPerformance: `{row['performance'].values[0]}`"
+        str += f"\nPerformance: `{row['performance'].values[0]}`"
 
     if "Accuracy" in displayed_metrics:
-        accuracy_val = f"\nAccuracy: `{row['accuracy'].values[0]}`"
+        str += f"\nAccuracy: `{row['accuracy'].values[0]}`"
 
     if "Precision" in displayed_metrics:
-        precision_val = f"\nPrecision: `{row['precision_weighted'].values[0]}`"
+        str += f"\nPrecision: `{row['precision_weighted'].values[0]}`"
 
     if "Recall" in displayed_metrics:
-        recall_val = f"\nRecall: `{row['recall_weighted'].values[0]}`"
+        str += f"\nRecall: `{row['recall_weighted'].values[0]}`"
 
     if "Robustness" in displayed_metrics:
-        robustness_val = f"\nRobustness: `{100-row['robustness'].values[0]}`"
+        str += f"\nRobustness: `{100-row['robustness'].values[0]}`"
 
     if "Fairness" in displayed_metrics:
-        fairness_val = f"\nFairness: `{0}`"
+        str += f"\nFairness: `{0}`"
 
     if "Failure Clusters" in displayed_metrics:
-        cl_count = row["cluster_count"].values[0]
-        fail_cluster = f"\nTop failures: {row['top_failure_cluster'].values[0]} (+{cl_count - 1} others) (details for all {cl_count} clusters)"
+        cl_count = row['cluster_count'].values[0]
+        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>"
 
     str += "\n<div style='text-align: right'>⛶ Expand safety card</div>"
-    str = parse_into_jinja_markdown(
-        model,
-        perform_val,
-        accuracy_val,
-        precision_val,
-        recall_val,
-        robustness_val,
-        fairness_val,
-        fail_cluster,
-    )
+
     return str
 
 

mc_template.md

@@ -1,201 +0,0 @@
-
-# Model Card for {{ model_id }}
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-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).
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-{{ Fairness | default("More information needed", true)}}
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-{{Failure_Cluster}}
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Data Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-{{ accuracy | default("More information needed", true)}}
-{{ Precision}}
-{{Recall}}
-{{Performance}}
-{{Robustness}}
-
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]