added emoji icons

app.py

@@ -25,13 +25,13 @@ from urllib.error import URLError
 # set up title and sidebar
 st.title (" Nashville Analytics Summit Conference Helper")# (" Your top 3 Important Sessions")
 
-st.markdown("**Problem**🤔:")
+st.markdown("**Problem** 🧐:")
 st.markdown("Since its inception in 2013, Nashville Analytics Summit has seen a growth of over 488%. The Summit prides its itself as the fastest growing locally grown tech events in the south region. With an increasing number of participants and dozens of talks covering a myriad of topics, there is a need to tailor participants needs to their interests")
 st.markdown("---")
 st.markdown("**Solution**💡:" )
 st.markdown("Develop an application in which users can input the description of areas of interest and app returns the top three Sessions matching the description requested.")
 st.markdown("---")
-st.markdown("** Approach**🔑:") 
+st.markdown("** Approach**🗝️ :") 
 st.markdown("* For the approach, I used a transformer model, multi-qa-MiniLM-L6-cos-v1, that uses sentence similarity to match the description of the event and the input description.")
 st.markdown("* The dataset used is Nashville Analytics Summit descriptions of the presentations, which include the Unique ID, Name of presenter, Description of presentation, Activity Code, Start Time, End Time, Location Name")
 
@@ -48,7 +48,7 @@ st.image(dificult_reading, caption='Reading sessions descriptions.')
 
 st.markdown("---")
 # section 2: how can transformers help?
-st.markdown("### How can Transformers Help?💡")
+st.markdown("### How can Transformers Help?🪄 ")
 
 st.markdown("**Sentence Similarity**")
 #st.markdown("* FEVER, or Fact Extraction and VERification, was introduced in 2018 as the first dataset containing {fact, evdience, entailment_label} information. They extracted altering sentences from Wikipedia and had annotators report the relationship between the setences: entailment, contradition, not enough information.")
@@ -62,7 +62,7 @@ st.markdown("**Sentence Similarity**")
 st.markdown("---")
 # section 4: The process
 # this is the pipeline in my notes (u are here highlight)
-st.markdown("### The Process 🔑")
+st.markdown("### The Process 🔍")
 
 #st.markdown("Imagine: A person is curious about whether a claim they heard about climate change is true. How can transformers help validate or refute the claim?")