Update app.py

app.py

@@ -559,10 +559,10 @@ def run_employer_flow(description: str) -> tuple[str, str]:
 with gr.Blocks(title="🤖 Jobly - Transforming Gig Market with AI") as app:
     
     gr.Markdown("""
-    # 🤖 GigMatch AI - RAG Edition
-    ### Powered by LlamaIndex 🦙 + Vector Embeddings + Semantic Search
+    # 🤖 Jobly - Transforming Gig Market with AI
+    ### Powered by LlamaIndex 🦙 + Hugging Face + Anthropic
     
-    **Hugging Face Winter Hackathon 2025** | *MCP Anniversary Track*
+    **Hugging Face Winter Hackathon 2025** 
     
     🚀 **NEW**: Advanced semantic matching using **vector embeddings** and **RAG**!  
     📊 **Database**: 50 workers + 50 gigs = **100 entries** indexed with semantic search  
@@ -584,7 +584,7 @@ with gr.Blocks(title="🤖 Jobly - Transforming Gig Market with AI") as app:
             3. 💡 Find the top 5 matches based on **vector similarity**
             4. 📊 Explain match scores and semantic relevance
             
-            **Example:** "I'm an experienced handyman with 10 years doing plumbing, 
+            **Example:** "I'm Eddy Stone, an experienced handyman with 10 years doing plumbing, 
             electrical work, and carpentry. Based in Rome, available weekdays and weekends, 
             charge around €25/hour"
             """)
@@ -613,7 +613,7 @@ with gr.Blocks(title="🤖 Jobly - Transforming Gig Market with AI") as app:
         # BOARD 2: EMPLOYER SEEKING WORKERS
         with gr.Tab("💼 Find Workers for My Gig", elem_id="employer-board"):
             gr.Markdown("""
-            ## 🎯 I'm Hiring for a Gig Project
+            ## 🎯 I'm looking for help with a task
             
             Describe your needs, and our **AI + RAG system** will:
             1. ✨ Create a clear gig post
@@ -650,9 +650,9 @@ with gr.Blocks(title="🤖 Jobly - Transforming Gig Market with AI") as app:
     gr.Markdown(f"""
     ---
     
-    ### 🧠 Advanced Matching Technology
+    ### 🧠 Some amazing nerd facts
     
-    **🦙 LlamaIndex RAG Pipeline:**
+    **🦙 LlamaIndex RAG Pipeline: to keep it short**
     ```
     Your Query → Vector Embedding → Semantic Search → Top K Results → AI Analysis
     ```
@@ -684,7 +684,7 @@ with gr.Blocks(title="🤖 Jobly - Transforming Gig Market with AI") as app:
     - **Vector Store:** ChromaDB
     - **Protocol:** Model Context Protocol (MCP)
     
-    *Built for Hugging Face Winter Hackathon 2025 🎉*
+    *Built for Hugging Face Winter Hackathon 2025 by Jobly Team (Valentina, Giacomo & Elisa <3) 🎉*
     """)
 
 if __name__ == "__main__":