adding in MC template + parsing

app.py

@@ -1,41 +1,47 @@
 # %%
+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;'>🚧 Performance and safety of <code style='font-weight: 400'>{model}</code></span>\n"
-        f"On dataset `{dataset}`\n"
-    )
+    str = ""
+       ## f"# <span style='font-size: 16px;'> Model Card for <code style='font-weight: 400'>{model}</code></span>\n"
+        ##f"On dataset `{dataset}`\n"
+        
+   ## )
 
     if "Performance" in displayed_metrics:
-        str += f"\nPerformance: `{row['performance'].values[0]}`"
+        perform_val = f"\nPerformance: `{row['performance'].values[0]}`"
 
     if "Accuracy" in displayed_metrics:
-        str += f"\nAccuracy: `{row['accuracy'].values[0]}`"
+        accuracy_val= f"\nAccuracy: `{row['accuracy'].values[0]}`"
 
     if "Precision" in displayed_metrics:
-        str += f"\nPrecision: `{row['precision_weighted'].values[0]}`"
+        precision_val= f"\nPrecision: `{row['precision_weighted'].values[0]}`"
 
     if "Recall" in displayed_metrics:
-        str += f"\nRecall: `{row['recall_weighted'].values[0]}`"
+        recall_val= f"\nRecall: `{row['recall_weighted'].values[0]}`"
 
     if "Robustness" in displayed_metrics:
-        str += f"\nRobustness: `{100-row['robustness'].values[0]}`"
+        robustness_val = f"\nRobustness: `{100-row['robustness'].values[0]}`"
 
     if "Fairness" in displayed_metrics:
-        str += f"\nFairness: `{0}`"
+        fairness_val = f"\nFairness: `{0}`"
 
     if "Failure Clusters" in displayed_metrics:
         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>"
+        fail_cluster = f"\nTop failures: {row['top_failure_cluster'].values[0]}(+{cl_count - 1} others)(details for all {cl_count} clusters)"
 
     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

@@ -0,0 +1,201 @@
+
+# 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]