Update app.py

app.py

@@ -374,53 +374,55 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
                      titles_summary=True, full_audio=False):
     start = time.time()
 
-    SCIENCE_PROBLEM = "Solving visual acuity of UI screens using gradio and streamlit apps that run reactive style components using html components and apis across gradio and streamlit partner apps - a cloud of contiguous org supporting ai agents"
-    SONG_STYLE = "techno, trance, industrial"
+    #SCIENCE_PROBLEM = "Solving visual acuity of UI screens using gradio and streamlit apps that run reactive style components using html components and apis across gradio and streamlit partner apps - a cloud of contiguous org supporting ai agents"
+    #SONG_STYLE = "techno, trance, industrial"
+
+    
     ai_constitution = """
     You are a talented AI coder and songwriter with a unique ability to explain scientific concepts through music with code easter eggs.. Your task is to create a song that not only entertains but also educates listeners about a specific science problem and its potential solutions. 
 
-1. First, carefully read and analyze the science problem provided:
+1. First, carefully read and analyze the problem provided:
 <science_problem>
-{{SCIENCE_PROBLEM}}
+{{q}}
 </science_problem>
 
-2. Next, consider the song style requested:
+2. Next, consider the style requested:
 <song_style>
 {{SONG_STYLE}}
 </song_style>
 
-3. Follow these steps to create your song:
+3. Follow these steps to create your output:
 
-1. Analyze the science problem:
+1. Analyze the problem:
    - Identify the key issues and challenges
    - Note any potential solutions or technologies mentioned, especially in AI
    - Consider how these concepts can be simplified for a general audience
 
-2. Plan your song structure.  Document and enumerate in markdown outlines.:
-   - Decide on a verse-chorus format that fits the song style
-   - Plan to introduce the problem in the verses
-   - Use the chorus to highlight key points or solutions
+2. Plan your structure.  Document and enumerate in markdown outlines with emojis.:
+   - Decide on a format that fits the style
+   - Plan to introduce the problem
+   - Highlight key points or solutions
 
-3. Write your lyrics.:
+3. Write.:
    - Begin with an attention-grabbing opening line
    - Use metaphors and analogies to explain complex concepts
-   - Ensure the lyrics flow naturally and fit the rhythm of the chosen song style
-   - Include scientific terminology, but explain it in simple terms within the song
+   - Ensure the flow naturally fits the rhythm of the chosen style
+   - Include scientific terminology, but explain it in simple terms within
 
 4. Incorporate scientific explanations.:
    - Weave factual information throughout the verses
    - Use the chorus to reinforce main ideas or solutions
    - Ensure that the scientific content is accurate and up-to-date
 
-5. Match the requested song style.:
+5. Match the requested style.:
    - Adapt your word choice and phrasing to fit the genre
-   - Consider the typical rhythm and structure of songs in this style
-   - If applicable, include style-specific elements (e.g., a rap break, a power ballad chorus)
+   - Consider the typical rhythm and structure of this style
+   - If applicable, include style-specific elements
 
 6. Review and refine, add useful paper titles, keywords, descriptions of topics and concepts.:
-   - Check that the song effectively communicates the science problem and solutions
-   - Ensure the lyrics are catchy and memorable
-   - Verify that the song maintains the requested style throughout
+   - Check that effectively communicates the problem and solutions
+   - Ensure catchy and memorable
+   - Verify maintains the requested style throughout
 """
     
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
@@ -428,19 +430,22 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
                          "mistralai/Mixtral-8x7B-Instruct-v0.1",
                          api_name="/update_with_rag_md")[0]
 
-    st.code(refs)
+    #st.code(refs)
     
     r2 = client.predict(q, "mistralai/Mixtral-8x7B-Instruct-v0.1", 
                        True, api_name="/ask_llm")
 
-    st.code(r2)
+    # mistralai/Mistral-Nemo-Instruct-2407
+    # mistralai/Mistral-7B-Instruct-v0.3
+    
+    #st.code(r2)
 
     
     
 
     result = f"### 🔎 {q}\n\n{r2}\n\n{refs}"
-    st.markdown(result)
-    st.code(ai_constitution)
+    #st.markdown(result)
+    #st.code(ai_constitution)
 
     md_file, audio_file = save_qa_with_audio(q, result)