Update app.py

app.py

@@ -286,30 +286,14 @@ def demo():
         
         gr.Markdown(
             """<center>
-    <img src="https://github.com/dhakalnirajan" alt="Profile Picture">
-    <h2>PDF-based Chatbot (powered by LangChain and open-source Large Language Models)</h2>
-    <h3>Ask any questions about your PDF documents, along with follow-ups.</h3>
-    <b>Note:</b> This AI assistant performs retrieval-augmented generation from your PDF documents.
-    When generating answers, it takes past questions into account (via conversational memory), and includes document references for clarity purposes.</i>
-    
-    <b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate an output.
-    
-    <div style="display: flex; justify-content: center; align-items: center; margin-top: 2rem; gap: 1rem;">
-        <a href="https://huggingface.co/nirajandhakal" target="_blank" rel="noreferrer">
-            <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-%23FF0000.svg?style=for-the-badge&logo=huggingface&logoColor=white" alt="Hugging Face">
-        </a>
-        <a href="https://twitter.com/nirajandhakal_7" target="_blank" rel="noreferrer">
-            <img src="https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white" alt="Twitter">
-        </a>
-        <a href="https://www.linkedin.com/in/nirajandhakal07" target="_blank" rel="noreferrer">
-            <img src="https://img.shields.io/badge/LinkedIn-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn">
-        </a>
-        <a href="https://github.com/dhakalnirajan" target="_blank" rel="noreferrer">
-            <img src="https://img.shields.io/badge/Github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white" alt="GitHub">
-        </a>
-    </div>
-</center>
-"""
+                    <h2>PDF-based Chatbot (powered by LangChain and open-source Large Language Models)</h2>
+                    <h3>Ask any questions about your PDF documents, along with follow-ups.</h3>
+                    <b>Note:</b> This AI assistant performs retrieval-augmented generation from your PDF documents.
+                    When generating answers, it takes past questions into account (via conversational memory), and includes document references for clarity purposes.</i>
+                    
+                    <b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate an output.
+                </center>
+            """
             )
         with gr.Tab("Step 1 - Document pre-processing"):
             with gr.Row():