Update app.py

app.py

@@ -19,7 +19,7 @@ def get_base64_of_bin_file(png_file):
 def build_markup_for_logo(
     png_file,
     background_position="50% 10%",
-    margin_top="5%",
+    margin_top="20%",
     image_width="60%",
     image_height="",
 ):
@@ -68,9 +68,11 @@ st.markdown(paragraph, unsafe_allow_html=True)
 st.markdown("<h3 style='text-align: center; color: black;'>What is GenAI?!!! </h2>", unsafe_allow_html=True)
 g_p = """"<span style="color:black;">GenAI" stands for "General Artificial Intelligence," which refers to the concept of developing intelligent systems capable of performing tasks across a broad spectrum of domains, similar to the versatility and adaptability observed in human intelligence. In a short summary, "GenAI" embodies the pursuit of creating AI systems that can comprehend, learn, and apply knowledge across various contexts, aiming for a more generalized and flexible form of artificial intelligence.</span>"""
 st.markdown(g_p, unsafe_allow_html=True)
+st.markdown("<h3 style='text-align: center; color: black;'>What is Deep Learning?!!! </h2>", unsafe_allow_html=True)
 
 d_l = """<span style="color:black;">Deep learning is a subfield of machine learning that involves training artificial neural networks with multiple layers (deep neural networks) to perform tasks such as image and speech recognition, natural language processing, and other complex pattern recognition tasks. The depth of the network allows it to automatically learn hierarchical representations of data, extracting features at different levels of abstraction. Deep learning has shown remarkable success in various applications, especially when dealing with large amounts of data, enabling the development of sophisticated models for complex tasks.</span>"""
 st.markdown(d_l, unsafe_allow_html=True)
+st.markdown("<h3 style='text-align: center; color: black;'>What is Machine Learning?!!! </h2>", unsafe_allow_html=True)
 
 m_l = """<span style="color:black;">Machine learning is a branch of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn patterns and make predictions or decisions without being explicitly programmed. It involves the use of data to train algorithms, allowing machines to improve their performance on a specific task over time. Machine learning is applied in various domains, including image and speech recognition, natural language processing, recommendation systems, and more, to extract insights, recognize patterns, and make predictions based on input data.</span>"""
 st.markdown(m_l, unsafe_allow_html=True)