Ezi Ozoani
commited on
Commit
β’
e1f97c2
1
Parent(s):
b2c7a50
parsing fixes
Browse files- 1_π_form.py +6 -0
- middleMan.py +6 -1
- pages/5_ποΈββοΈ_Model_training.py +1 -1
1_π_form.py
CHANGED
@@ -167,6 +167,12 @@ def main():
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"researcher_view":bool,
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"beginner_technical_view":bool,
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"markdown_state":"",
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})
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## getting cache for each warnings
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languages_map, license_map, available_metrics, libraries, tasks = get_cached_data()
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"researcher_view":bool,
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"beginner_technical_view":bool,
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"markdown_state":"",
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+
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"testing_factor": "",
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"testing_factor":"",
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"testing_metrics":"",
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"results":""
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})
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## getting cache for each warnings
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languages_map, license_map, available_metrics, libraries, tasks = get_cached_data()
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middleMan.py
CHANGED
@@ -29,6 +29,7 @@ def parse_into_jinja_markdown():
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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"],
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bias_risks_limitations = st.session_state["Model_Limits_n_Risks"], bias_recommendations = st.session_state['Recommendations'],
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model_examination = st.session_state['Model_examin'],
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hardware= st.session_state['Model_hardware'], hours_used = st.session_state['hours_used'], cloud_provider = st.session_state['Model_cloud_provider'], cloud_region = st.session_state['Model_cloud_region'], co2_emitted = st.session_state['Model_c02_emitted'],
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citation_bibtex= st.session_state["APA_citation"], citation_apa = st.session_state['bibtex_citation'],
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training_data = st.session_state['training_data'], preprocessing =st.session_state['preprocessing'], speeds_sizes_times = st.session_state['Speeds_Sizes_Times'],
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@@ -40,7 +41,11 @@ def parse_into_jinja_markdown():
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get_started_code =st.session_state["Model_how_to"],
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repo_link = st.session_state["github_url"],
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paper_link = st.session_state["paper_url"],
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-
blog_link = st.session_state["blog_url"]
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))
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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"],
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bias_risks_limitations = st.session_state["Model_Limits_n_Risks"], bias_recommendations = st.session_state['Recommendations'],
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model_examination = st.session_state['Model_examin'],
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+
speeds_sizes_times = st.session_state['Speeds_Sizes_Times'],
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hardware= st.session_state['Model_hardware'], hours_used = st.session_state['hours_used'], cloud_provider = st.session_state['Model_cloud_provider'], cloud_region = st.session_state['Model_cloud_region'], co2_emitted = st.session_state['Model_c02_emitted'],
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citation_bibtex= st.session_state["APA_citation"], citation_apa = st.session_state['bibtex_citation'],
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training_data = st.session_state['training_data'], preprocessing =st.session_state['preprocessing'], speeds_sizes_times = st.session_state['Speeds_Sizes_Times'],
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get_started_code =st.session_state["Model_how_to"],
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repo_link = st.session_state["github_url"],
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paper_link = st.session_state["paper_url"],
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blog_link = st.session_state["blog_url"],
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testing_data = st.session_state["testing_data"],
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testing_factor = st.session_state["testing_factor"],
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results = st.session_state["results"],
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testing_metrics = st.session_state["testing_metrics"]
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))
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pages/5_ποΈββοΈ_Model_training.py
CHANGED
@@ -78,7 +78,7 @@ def cs_body():
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st.write("\n")
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st.text_area("", key=persist("preprocessing"))
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st.text_area("", help = "This section provides information about throughput, start/end time, checkpoint size if relevant, etc.", key=persist("
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st.write("\n")
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st.text_area("", key=persist("preprocessing"))
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st.text_area("", help = "This section provides information about throughput, start/end time, checkpoint size if relevant, etc.", key=persist("Speeds_Sizes_Times"))
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