add counter

app.py

@@ -4,13 +4,7 @@ import gradio as gr
 
 '''
 https://huggingface.co/spaces/kevinhug/clientX
-
-https://dash.elfsight.com
 '''
-counter="""
-<script src="https://static.elfsight.com/platform/platform.js" data-use-service-core defer></script>
-<div class="elfsight-app-5f3e8eb9-9103-490e-9999-e20aa4157dc7" data-elfsight-app-lazy></div>
-"""
 
 '''
 SIMILAR VECTOR DB SEARCH
@@ -125,6 +119,8 @@ Using Sentence Embedding to inject Public ML Banks Text Dataset @ https://github
     btn_like = gr.Button("Classify Like Score")
     btn_like.click(fn=like, inputs=in_like, outputs=out_like)
     gr.Markdown("""
+Smart Insights: Elevating Customer Engagement Through Sentiment Analysis
+=========
 As a Data Scientist with a decades of financial industry experience, I recognize the paramount importance of staying closely tuned to our customer's needs and opinions. In this app, Fine Tune LLM, we have shown how fine-tuning a Language Model (LLM) on a custom dataset can provide valuable insights into customer sentiment across crucial areas such as service, sales, point of failure, product, and emerging trends.
 
 Objective:
@@ -132,5 +128,16 @@ Objective:
 Our aim is to extract meaningful insights from customer interactions to improve our services, products, and overall customer experience. This analysis will help us understand what our customers are discussing and how they feel about different aspects of our business.
     """)
 
+
+  '''
+  https://dash.elfsight.com
+  '''
+  counter="""
+  <script src="https://static.elfsight.com/platform/platform.js" data-use-service-core defer></script>
+  <div class="elfsight-app-5f3e8eb9-9103-490e-9999-e20aa4157dc7" data-elfsight-app-lazy></div>
+  """
+
+  gr.HTML(counter)
+
 demo.launch()