awacke1 commited on
Commit
b9b5758
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1 Parent(s): 0a2f9ae

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -198,11 +198,11 @@ def display_glossary_entity(k):
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  roleplaying_glossary = {
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  "πŸ€– AI Concepts": {
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  "MoE (Mixture of Experts) 🧠": [
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- "Ensemble learning architecture",
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- "Multiple expert models",
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- "Gating network for expert selection",
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- "Improved performance and scalability",
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- "Used in large-scale machine learning"
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  ],
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  "Multi Agent Systems (MAS) 🀝": [
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  "Distributed AI systems",
@@ -571,7 +571,7 @@ def search_glossary(query): # πŸ”Run------------------------------------------
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  # experimental 45 - - - - - - - - - - - - -<><><><><>
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- #responseAll = '# Query: ' + query + '# Summary: ' + str(response2) + '# Streamlit App Specifier: ' + str(response3) + '# Complete Streamlit App: ' + str(response4) + '# Scholarly Article Links References: ' + str(response1)
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  filename = generate_filename(responseAll, "md")
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  create_file(filename, query, responseAll, should_save)
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  roleplaying_glossary = {
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  "πŸ€– AI Concepts": {
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  "MoE (Mixture of Experts) 🧠": [
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+ "What are Multi Agent Systems for Health",
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+ "What is Mixture of Experts for Health",
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+ "What are Semantic and Episodic Memory and what is Mirroring for Behavioral Health",
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+ "What are Self Rewarding AI Systems for Health",
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+ "How are AGI and AMI systems created using Multi Agent Systems and Mixture of Experts for Health"
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  ],
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  "Multi Agent Systems (MAS) 🀝": [
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  "Distributed AI systems",
 
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  # experimental 45 - - - - - - - - - - - - -<><><><><>
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+ responseAll = '# Query: ' + query + '# Summary: ' + str(response2) + '# Streamlit App Specifier: ' + str(response3) + '# Complete Streamlit App: ' + str(response4) + '# Scholarly Article Links References: ' + str(response1)
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  filename = generate_filename(responseAll, "md")
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  create_file(filename, query, responseAll, should_save)
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