Update app.py

app.py

@@ -85,7 +85,8 @@ def display_projects():
         "Restaurant Recommendation System", 
         "Bitcoin Lightning Path Optimization",
         "National Infrastructure Monitoring",
-        "Job Easz"
+        "Job Easz",
+        "Prompt Easz"
     ]
 
     # Create tabs
@@ -173,6 +174,19 @@ def display_projects():
         - **Skills**: Web Scraping, Python, Streamlit, Hugging Face, ETL, Data Cleaning, Dashboard Building
         - **Reference**: [Link to Project](#https://huggingface.co/spaces/Niharmahesh/job_easz)
         """)
+    with tabs[9]:
+    st.header("Prompt Easz")
+    st.markdown("""
+    - **Description**: Developed a prompt converter using sentence transformers to tailor prompts based on predefined styles (e.g., ELI5, chain of thoughts, role play). The tool aims to make learning new topics less overwhelming by providing customized prompts.
+    - **Technologies Used**: Sentence Transformers, Cosine Similarity, Vector Embeddings, Google's all-MiniLM-L6-v2 model
+    - **Key Features**:
+        - Converts user prompts to vector embeddings
+        - Suggests updated prompts based on similarity to predefined styles
+        - Offers 10 main prompt types with 3-4 variations each
+        - Covers 10 predefined categories
+        - Allows users to customize prompt strength and style
+    - **Reference**: [Link to Project](#https://huggingface.co/spaces/Niharmahesh/PromptEasz)
+    """)
 
 
 def display_skills():
@@ -193,6 +207,9 @@ def display_apps():
     st.markdown('## Apps')
     st.markdown("""
 - [CNN arch](https://cnn-arch.streamlit.app/)
+""")
+    st.markdown("""
+- [TuNNe](https://huggingface.co/spaces/Niharmahesh/TuNNe)
 """)
     
 def display_certifications():