Update app.py

app.py

@@ -35,7 +35,7 @@ Site_Name = 'Scholarly-Article-Document-Search-With-Memory'
 title="🔬🧠ScienceBrain.AI"
 helpURL='https://huggingface.co/awacke1'
 bugURL='https://huggingface.co/spaces/awacke1'
-icons='🔬🧠'
+icons='🔬'
 
 st.set_page_config(
     page_title=title,
@@ -153,10 +153,6 @@ def generate_html(local_files):
 def search_arxiv(query):
     start_time = time.strftime("%Y-%m-%d %H:%M:%S")
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
-    search_query = query
-    search_source = "Arxiv Search - Latest - (EXPERIMENTAL)"
-    llm_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
-    #st.markdown('### 🔎 ' + query)
 
     # Search 1 - Retrieve the Papers
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
@@ -167,19 +163,11 @@ def search_arxiv(query):
         "mistralai/Mixtral-8x7B-Instruct-v0.1",
         api_name="/update_with_rag_md"
     )
-    lastpart = ''
-    totalparts = ''
-
     Question = '### 🔎 ' + query + '\r\n'  # Format for markdown display with links
     References =  response1[0]  
-    References2 = response1[1]  
-
-    #st.markdown(results)
 
     # URLs from the response
     ReferenceLinks = extract_urls(References)
-    #st.markdown(urls)
-    #results = results + urls
 
     RunSecondQuery = True
     if RunSecondQuery:
@@ -190,7 +178,6 @@ def search_arxiv(query):
             True,
             api_name="/ask_llm"
         )
-        #st.markdown(response2)
         if len(response2) > 10:
             Answer = response2
             SpeechSynthesis(Answer)
@@ -208,14 +195,8 @@ def search_arxiv(query):
     st.write(f"Start time: {start_time}")
     st.write(f"Finish time: {end_time}")
     st.write(f"Elapsed time: {elapsed_seconds:.2f} seconds")
-
-
-    #SpeechSynthesis(results)
     filename = generate_filename(query, "md")
     create_file(filename, query, results, should_save)
-    #st.rerun() # refresh to see new files on sidebar
-
-
     return results
 
 def download_pdfs_and_generate_html(urls):
@@ -225,7 +206,6 @@ def download_pdfs_and_generate_html(urls):
             pdf_filename = os.path.basename(url)
             download_pdf(url, pdf_filename)
             pdf_links.append(pdf_filename)
-
     local_links_html = '<ul>'
     for link in pdf_links:
         local_links_html += f'<li><a href="{link}">{link}</a></li>'
@@ -236,66 +216,6 @@ def download_pdf(url, filename):
     response = requests.get(url)
     with open(filename, 'wb') as file:
         file.write(response.content)        
-        
-        
-        
-# Show ArXiv Scholary Articles! ----------------*************----▶️ Semantic and Episodic Memory System
-def search_arxiv_old(query):
-    start_time = time.strftime("%Y-%m-%d %H:%M:%S")
-
-
-    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
-    search_query = query
-    search_source = "Arxiv Search - Latest - (EXPERIMENTAL)" # "Semantic Search - up to 10 Mar 2024"
-    llm_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
-    st.markdown('### 🔎 ' + query)
-
-    # Search 1 - Retrieve the Papers
-
-    
-    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
-    response1 = client.predict(
-    		query,	
-    		20,	
-    		"Semantic Search - up to 10 Mar 2024",	# Literal['Semantic Search - up to 10 Mar 2024', 'Arxiv Search - Latest - (EXPERIMENTAL)']  in 'Search Source' Dropdown component
-    		"mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
-    		api_name="/update_with_rag_md"
-    )
-    lastpart=''
-    totalparts=''
-    results = response1[0]  # Format for markdown display with links
-    results2 = response1[1]  # format for subquery without links
-    st.markdown(results)
-
-    RunSecondQuery = False
-    if RunSecondQuery:
-        # Search 2 - Retieve the Summary with Papers Context and Original Query
-        response2 = client.predict(
-                query,	# str  in 'parameter_13' Textbox component
-                "mistralai/Mixtral-8x7B-Instruct-v0.1",	
-                #"mistralai/Mistral-7B-Instruct-v0.2", 
-                #"google/gemma-7b-it",
-                True,	# bool  in 'Stream output' Checkbox component
-                api_name="/ask_llm"
-        )
-        st.markdown(response2)
-        results = results + response2
-
-    st.write('🔍Run of Multi-Agent System Paper Summary Spec is Complete')
-    end_time = time.strftime("%Y-%m-%d %H:%M:%S")
-    start_timestamp = time.mktime(time.strptime(start_time, "%Y-%m-%d %H:%M:%S"))
-    end_timestamp = time.mktime(time.strptime(end_time, "%Y-%m-%d %H:%M:%S"))
-    elapsed_seconds = end_timestamp - start_timestamp
-    st.write(f"Start time: {start_time}")
-    st.write(f"Finish time: {end_time}")
-    st.write(f"Elapsed time: {elapsed_seconds:.2f} seconds")
-    
-    SpeechSynthesis(results)  # Search History Reader / Writer IO Memory - Audio at Same time as Reading.
-    
-    filename=generate_filename(query, "md")
-    create_file(filename, query, results, should_save)
-    return results
-            
 
 # Prompts for App, for App Product, and App Product Code
 PromptPrefix = 'Create a specification with streamlit functions creating markdown outlines and tables rich with appropriate emojis for methodical step by step rules defining the concepts at play.  Use story structure architect rules to plan, structure and write three dramatic situations to include in the rules and how to play by matching the theme for topic of '
@@ -704,7 +624,7 @@ def FileSidebar():
             if st.button(key='Runmd', label = buttonlabel):
                 user_prompt = file_contents
             #try:
-                search_glossary(file_contents)
+                #search_glossary(file_contents)
             #except:
                 #st.markdown('GPT is sleeping.  Restart ETA 30 seconds.')
 
@@ -716,7 +636,8 @@ def FileSidebar():
             filesearch = PromptPrefix2 + file_content_area
             st.markdown(filesearch)
             if st.button(key=rerun, label='🔍Re-Code' ):
-                search_glossary(filesearch)
+                #search_glossary(filesearch)
+                search_arxiv(filesearch)
                     
         #except:
             #st.markdown('GPT is sleeping.  Restart ETA 30 seconds.')
@@ -806,7 +727,7 @@ def load_score(key):
     return 0
 
 
- # 🔍Run--------------------------------------------------------
+ # 🔍Search Glossary 
 @st.cache_resource
 def search_glossary(query): 
     #for category, terms in roleplaying_glossary.items():
@@ -827,7 +748,9 @@ def search_glossary(query):
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
     response2 = client.predict(
             query,	# str  in 'parameter_13' Textbox component
-            "mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            #"mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            #"mistralai/Mistral-7B-Instruct-v0.2",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            "google/gemma-7b-it",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
             True,	# bool  in 'Stream output' Checkbox component
             api_name="/ask_llm"
     )
@@ -1466,6 +1389,7 @@ if GiveFeedback:
                     filename = generate_filename(raw, 'txt')
                     create_file(filename, raw, '', should_save)
 
+# ⚙️q= Run ArXiv search from query parameters
 try:
     query_params = st.query_params
     query = (query_params.get('q') or query_params.get('query') or [''])
@@ -1558,6 +1482,59 @@ What is Lumiere?
 What is SORA?  
 '''
 
+import streamlit as st
+
+personality_factors = """
+1. 🌈 Openness (Being open to new things)
+   - 🎭 Imagination (Enjoying fantasy and daydreaming)
+   - 🎨 Artistic Interests (Appreciating beauty and art)
+   - 🎸 Creativity (Coming up with new ideas)
+   - 🌍 Curiosity (Wanting to explore and learn)
+   - 🌿 Unconventional (Being different and unique)
+   - 🧩 Complexity (Enjoying deep thoughts and feelings)
+   - 🌌 Adventurousness (Seeking new experiences)
+
+2. 💼 Conscientiousness (Being organized and reliable)
+   - 🎯 Competence (Feeling capable and effective)
+   - 📊 Orderliness (Keeping things neat and tidy)
+   - 📅 Dutifulness (Following rules and doing what's right)
+   - 🏆 Achievement (Working hard to reach goals)
+   - 🧘‍♀️ Self-Discipline (Staying focused and in control)
+   - 🤔 Thoughtfulness (Thinking before acting)
+   - 🕰️ Time Management (Using time wisely)
+   - 🧽 Perfectionism (Wanting things to be just right)
+
+3. 🎉 Extraversion (Being outgoing and social)
+   - 🤗 Friendliness (Being kind and welcoming)
+   - 👥 Sociability (Enjoying being with others)
+   - 🗣️ Assertiveness (Speaking up and taking charge)
+   - ⚡ Energy (Being active and lively)
+   - 🎢 Excitement (Seeking thrills and fun)
+   - 😊 Cheerfulness (Feeling happy and positive)
+   - 🎤 Talkativeness (Enjoying conversation)
+   - 🌞 Enthusiasm (Showing excitement and interest)
+
+4. 🤝 Agreeableness (Being kind and cooperative)
+   - 🤲 Trust (Believing in others' goodness)
+   - 🌿 Honesty (Being truthful and sincere)
+   - 🤝 Cooperation (Working well with others)
+   - 🌸 Helpfulness (Being generous and caring)
+   - 🕊️ Compliance (Following rules and respecting authority)
+   - 🙏 Modesty (Being humble and down-to-earth)
+   - 💕 Empathy (Understanding others' feelings)
+   - 🫂 Compassion (Caring about others' well-being)
+
+5. 😔 Neuroticism (Feeling negative emotions easily)
+   - 😰 Anxiety (Worrying and feeling nervous)
+   - 😡 Anger (Getting upset and frustrated)
+   - 😢 Sadness (Feeling down and unhappy)
+   - 😳 Self-Consciousness (Feeling shy and uneasy)
+   - 🎢 Impulsiveness (Acting without thinking)
+   - 🍃 Vulnerability (Being easily hurt or upset)
+   - 🌪️ Moodiness (Having ups and downs in feelings)
+   - 🎭 Negativity (Focusing on the bad side of things)
+"""
+
 
 session_state = {}
 if "search_queries" not in session_state:
@@ -1571,7 +1548,7 @@ if example_input:
     if query: 
         result = search_arxiv(query)
         #search_glossary(query)
-        search_glossary(result)
+        #search_glossary(result)
     st.markdown(' ')
                              
 #st.write("Search history:")
@@ -1629,10 +1606,10 @@ if AddAFileForContext:
                     st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
                     
 
-num_columns_video=st.slider(key="num_columns_video", label="Choose Number of Video Columns", min_value=1, max_value=15, value=4)
+num_columns_video=st.slider(key="num_columns_video", label="Choose Number of Video Columns", min_value=1, max_value=15, value=2)
 display_videos_and_links(num_columns_video)   # Video Jump Grid
 
-num_columns_images=st.slider(key="num_columns_images", label="Choose Number of Image Columns", min_value=1, max_value=15, value=4)
+num_columns_images=st.slider(key="num_columns_images", label="Choose Number of Image Columns", min_value=1, max_value=15, value=2)
 display_images_and_wikipedia_summaries(num_columns_images)   # Image Jump Grid
 
 display_glossary_grid(roleplaying_glossary)  # Word Glossary Jump Grid - Dynamically calculates columns based on details length to keep topic together
@@ -1640,3 +1617,4 @@ display_glossary_grid(roleplaying_glossary)  # Word Glossary Jump Grid - Dynamic
 num_columns_text=st.slider(key="num_columns_text", label="Choose Number of Text Columns", min_value=1, max_value=15, value=4)
 display_buttons_with_scores(num_columns_text)  # Feedback Jump Grid
     
+st.markdown(personality_factors)