Update app.py

app.py

@@ -83,7 +83,20 @@ def SpeechSynthesis(result):
     '''
     components.html(documentHTML5, width=1280, height=300)
 
+def parse_to_markdown(text):
+    # Split text into fields by | character
+    fields = text.split("|")
+    
+    markdown = ""
+    for field in fields:
+        # Remove leading/trailing quotes and whitespace
+        field = field.strip(" '")
+        
+        # Add field to markdown with whitespace separator
+        markdown += field + "\n\n"
 
+    return markdown
+    
 def search_arxiv(query):
     
     # Show ArXiv Scholary Articles! ----------------*************-------------***************----------------------------------------
@@ -97,6 +110,7 @@ def search_arxiv(query):
     #llm_model = st.sidebar.selectbox(key='llmmodel', label="LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
     llm_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
 
+    
     st.sidebar.markdown('### 🔎 ' + query)
     result = client.predict(
         search_query,
@@ -105,7 +119,7 @@ def search_arxiv(query):
         llm_model,
         api_name="/update_with_rag_md"
     )
-    
+    result = parse_to_markdown(result)
     st.markdown(result)
     arxiv_results = st.text_area("ArXiv Results: ", value=result, height=700)
     result = str(result) # cast as string for these - check content length and format if encoding changes..
@@ -114,6 +128,7 @@ def search_arxiv(query):
     filename=generate_filename(result, "md")
     create_file(filename, query, result, should_save)
 
+    
     #file_type = st.radio("Select Which Type of Memory You Prefer:", ("Semantic", "Episodic"))
     #if st.button("Save"):
     #    file_name = save_file(result, file_type)