cleaning

1_📝_form.py

@@ -10,7 +10,6 @@ import pandas as pd
 from huggingface_hub import create_repo
 import os
 from middleMan import parse_into_jinja_markdown as pj
-#from pages import 1_👀_CardProgress
 
 @st.cache
 def get_cached_data():
@@ -30,6 +29,7 @@ def get_cached_data():
     tasks = [x['id'] for x in tags_data['pipeline_tag']]
     return languages_map, license_map, available_metrics, libraries, tasks
 
+
 def card_upload(card_info,repo_id,token):
     #commit_message=None,
     repo_type = "space"
@@ -111,10 +111,7 @@ def main():
             "the_authors":"",
             "Model_details_text": "",
             "Model_developers": "",
-
-            "Machine_Learning_Type":[],
-            "Modality":[],
-            "Supervision_learning_method":[],
+            "blog_url":"",
 
             "Model_how_to": "",
             
@@ -147,7 +144,6 @@ def main():
             "Model_cite": "",
             "paper_url": "",
             "github_url": "",
-            "blog_url":"",
             "bibtex_citation": "",
             "APA_citation":"",
 
@@ -167,11 +163,6 @@ def main():
             "researcher_view":bool,
             "beginner_technical_view":bool,
             "markdown_state":"",
-
-            "testing_Factor": "",
-            "testing_Metrics":"",
-            "model_results":""
-
         })
     ## getting cache for each warnings 
     languages_map, license_map, available_metrics, libraries, tasks = get_cached_data()
@@ -181,8 +172,6 @@ def main():
 
     warning_placeholder = st.empty()
 
-    Supervision_learning_method_list = ["Unsupervised","Semi-supervised","Self-supervised","Supervised"]
-
     st.text_input("Model Name", key=persist("model_name"))
     st.text_area("Model Description", help="The model description provides basic details about the model. This includes the architecture, version, if it was introduced in a paper, if an original implementation is available, the author, and general information about the model. Any copyright should be attributed here. General information about training procedures, parameters, and important disclaimers can also be mentioned in this section.", key=persist('model_description'))
     st.multiselect("Language(s)", list(languages_map), format_func=lambda x: languages_map[x], help="The language(s) associated with this model. If this is not a text-based model, you should specify whatever lanuage is used in the dataset. For instance, if the dataset's labels are in english, you should select English here.", key=persist("languages"))
@@ -195,10 +184,8 @@ def main():
     st.text_input("Author(s) (comma separated)", help="The authors who developed this model. If you trained this model, the author is you.", key=persist("the_authors"))
     st.text_input("Related Research Paper", help="Research paper related to this model.", key=persist("paper_url"))
     st.text_input("Related GitHub Repository", help="Link to a GitHub repository used in the development of this model", key=persist("github_url"))
-    st.text_input("Related Blog Post", help="Link to a blog post related to this model.", key=persist("blog_url"))
     st.text_area("Bibtex Citation", help="Bibtex citations for related work", key=persist("bibtex_citations"))
     st.text_input("Carbon Emitted:", help="You can estimate carbon emissions using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700)", key=persist("Model_c02_emitted"))
-    
     # warnings setting
     languages=st.session_state.languages or None
     license=st.session_state.license or None
@@ -290,4 +277,4 @@ def main():
 
 if __name__ == '__main__':
     load_widget_state()
-    main()
+    main()

language_model_template1.md

@@ -134,7 +134,7 @@
 - **Shared by [Optional]:** {{ shared_by | join(', ') | default("More information needed", true)}}
 - **Model type:** {{ model_type | default("Language model", true)}}
 - **Language(s) (NLP):** {{ language | join(', ') | default("More information needed", true)}}
-- **License:** {{ license | default("More information needed", true)}}
+- **License:** {{ model_license | default("More information needed", true)}}
 - **Related Models:** {{ related_models | join(', ') | default("More information needed", true)}}
   - **Parent Model:** {{ parent_model | default("More information needed", true)}}
 - **Resources for more information:** {{ more_resources | default("More information needed", true)}}

middleMan.py

@@ -25,7 +25,7 @@ def parse_into_jinja_markdown():
         # citation on form: check box for bibtex or apa: then parse 
     return (temp.render(model_id = st.session_state["model_name"],
         language = st.session_state["languages"],
-        the_model_description = st.session_state["model_description"],developers=st.session_state["Model_developers"],shared_by = st.session_state["shared_by"],license = st.session_state['license'],
+        the_model_description = st.session_state["model_description"],developers=st.session_state["Model_developers"],shared_by = st.session_state["shared_by"],model_license = st.session_state['license'],
             direct_use = st.session_state["Direct_Use"], downstream_use = st.session_state["Downstream_Use"],out_of_scope_use = st.session_state["Out-of-Scope_Use"],
             bias_risks_limitations = st.session_state["Model_Limits_n_Risks"], bias_recommendations = st.session_state['Recommendations'],
             model_examination = st.session_state['Model_examin'],
@@ -58,61 +58,6 @@ def parse_into_jinja_markdown():
 ################################################################
 ################################################################
 
-def get_card():
-    languages=st.session_state.languages or None
-    license=st.session_state.license or None
-    library_name = st.session_state.library_name or None
-    tags= [x.strip() for x in st.session_state.tags.split(',') if x.strip()]
-    tags.append("autogenerated-modelcard")
-    datasets= [x.strip() for x in st.session_state.datasets.split(',') if x.strip()] or None
-    metrics=st.session_state.metrics or None
-    model_name = st.session_state.model_name or None
-    model_description = st.session_state.model_description or None
-    authors = st.session_state.Model_card_authors or None
-    paper_url = st.session_state.paper_url or None
-    github_url = st.session_state.github_url or None
-    bibtex_citations = st.session_state.bibtex_citations or None
-    emissions = float(st.session_state.Model_c02_emitted) if is_float(st.session_state.Model_c02_emitted) else None  # BUG
-
-    # Handle any warnings...
-    do_warn = False
-    warning_msg = "Warning: The following fields are required but have not been filled in: "
-    if not languages:
-        warning_msg += "\n- Languages"
-        do_warn = True
-    if not license:
-        warning_msg += "\n- License"
-        do_warn = True
-    if do_warn:
-        st.error(warning_msg)
-        st.stop()
-
-    # Generate and display card
-    card_data = CardData(
-        language=languages,
-        license=license,
-        library_name=library_name,
-        tags=tags,
-        datasets=datasets,
-        metrics=metrics,
-    )
-    if emissions:
-        card_data.co2_eq_emissions = {'emissions': emissions}
-
-    card = ModelCard.from_template(
-        card_data,
-        template_path='template.md',
-        model_id=model_name,
-        # Template kwargs:
-        model_description=model_description,
-        license=license,
-        authors=authors,
-        paper_url=paper_url,
-        github_url=github_url,
-        bibtex_citations=bibtex_citations,
-        emissions=emissions
-    )
-    return card
 
 
 def apply_view(page_state, not_code_pull,text_passed):

pages/10_ 📁_Technical Specifications.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
+
 #from specific_extraction import extract_it
 
 

pages/11_ 📬_Model_Card_Contact.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
+
 #from specific_extraction import extract_it
 
 

pages/12_👩‍💻_How_To_Get_Started.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-#from middleMan import apply_view,writingPrompt
+
 from extract_code import read_file
 
 

pages/13_🔖_Model_Card_Authors.py

@@ -1,7 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
-#from specific_extraction import extract_it
+
 
 
 global variable_output

pages/14_📚_Glossary.py

@@ -1,7 +1,5 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
-#from specific_extraction import extract_it
 
 
 global variable_output

pages/15_More_Information.py

@@ -1,7 +1,5 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
-#from specific_extraction import extract_it
 
 
 global variable_output

pages/2_📜_Model_Details.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
+#from middleMan import get_card,writingPrompt,apply_view
 import pandas as pd
 import requests
 

pages/3_ 🏗_Uses.py

@@ -1,7 +1,5 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
-
 
 global variable_output
 
@@ -10,8 +8,6 @@ def main():
     cs_body()
 
 def cs_body():
-    # Model Cards
-    card = get_card()
     
     st.markdown('# Uses')
     st.text_area("Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model",help="Model uses large work")

pages/4_⚠️_Limits_and_Risks.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import writingPrompt,apply_view
+
 
 
 global variable_output

pages/5_🏋️‍♀️_Model_training.py

@@ -1,8 +1,5 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from pathlib import Path
-
-from middleMan import apply_view,writingPrompt
 
 global variable_output
 

pages/7_🔎_Model_Examination.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from persist import persist, load_widget_state
-from middleMan import get_card,writingPrompt,apply_view
+
 #from specific_extraction import extract_it
 
 

pages/8_🌏_Environmental_Impact.py

@@ -2,7 +2,7 @@ import streamlit as st
 from persist import persist, load_widget_state
 from pathlib import Path
 
-from middleMan import apply_view,writingPrompt
+
 
 global variable_output
 

pages/9_📌_Citation.py

@@ -2,7 +2,7 @@ import streamlit as st
 from persist import persist, load_widget_state
 from pathlib import Path
 
-from middleMan import apply_view,writingPrompt
+
 
 global variable_output
 

test_markdown_out.py

@@ -7,7 +7,7 @@ def parse_into_jinja_markdown():
     temp = env.get_template(st.session_state.markdown_upload)
    
     return (temp.render(model_id = st.session_state["model_name"],
-        the_model_description = st.session_state["model_description"],developers=st.session_state["Model_developers"],shared_by = st.session_state["shared_by"],license = st.session_state['license'],
+        the_model_description = st.session_state["model_description"],developers=st.session_state["Model_developers"],shared_by = st.session_state["shared_by"],model_license = st.session_state['license'],
             direct_use = st.session_state["Direct_Use"], downstream_use = st.session_state["Downstream_Use"],out_of_scope_use = st.session_state["Out-of-Scope_Use"],
             bias_risks_limitations = st.session_state["Model_Limits_n_Risks"], bias_recommendations = st.session_state['Recommendations'],
             model_examination = st.session_state['Model_examin'],