Update app.py

app.py

@@ -178,7 +178,7 @@ def display_glossary_grid(roleplaying_glossary):
         "🎲": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(k)}",  # this url plus query!
         "🃏": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix)}{quote(k)}",  # this url plus query!
         "📚": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix2)}{quote(k)}",  # this url plus query!
-        "📚": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix3)}{quote(k)}",  # this url plus query!
+        "🔬": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix3)}{quote(k)}",  # this url plus query!
     }
 
     for category, details in roleplaying_glossary.items():
@@ -201,7 +201,7 @@ def display_glossary_entity(k):
         "🎲": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(k)}",  # this url plus query!
         "🃏": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix)}{quote(k)}",  # this url plus query!
         "📚": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix2)}{quote(k)}",  # this url plus query!
-        "📚": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix3)}{quote(k)}",  # this url plus query!
+        "🔬": lambda k: f"https://huggingface.co/spaces/awacke1/GraphicAINovel?q={quote(PromptPrefix3)}{quote(k)}",  # this url plus query!
     }
     links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
     st.markdown(f"{k} {links_md}", unsafe_allow_html=True)
@@ -450,20 +450,24 @@ def search_glossary(query):
             st.write(f"- {query}")
 
     all=""
-
-    query2 = PromptPrefix + query
+    
+    #query2 = PromptPrefix + query
+    query2 = query
     response = chat_with_model(query2)        
+    all = query + '   ' + response
+    filename = generate_filename(response, "md")
+    create_file(filename, query, response, should_save)     
 
-    query3 = PromptPrefix2 + query + ' for story outline of method steps: ' + response # Add prompt preface for coding task behavior
-    response2 = chat_with_model(query3)
+    #query3 = PromptPrefix2 + query + ' for story outline of method steps: ' + response # Add prompt preface for coding task behavior
+    #response2 = chat_with_model(query3)
         
-    query4 = PromptPrefix3 + query + ' using this streamlit python programspecification to define features.  Create entities for each variable and generate UI with HTML5 and JS that matches the streamlit program: ' + response2 # Add prompt preface for coding task behavior
-    response3 = chat_with_model(query4)
+    #query4 = PromptPrefix3 + query + ' using this streamlit python programspecification to define features.  Create entities for each variable and generate UI with HTML5 and JS that matches the streamlit program: ' + response2 # Add prompt preface for coding task behavior
+    #response3 = chat_with_model(query4)
     
-    all = query + '   ' + response + '   ' + response2 + '   ' + response3
+    #all = query + '   ' + response + '   ' + response2 + '   ' + response3
     
-    filename = generate_filename(all, "md")
-    create_file(filename, query, all, should_save)
+    #filename = generate_filename(all, "md")
+    #create_file(filename, query, all, should_save)
     
     SpeechSynthesis(all)
     return all