themeetjani commited on
Commit
766875d
1 Parent(s): 01f902f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +8 -6
app.py CHANGED
@@ -19,7 +19,7 @@ def get_base64_of_bin_file(png_file):
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  def build_markup_for_logo(
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  png_file,
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  background_position="50% 10%",
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- margin_top="10%",
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  image_width="60%",
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  image_height="",
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  ):
@@ -51,9 +51,6 @@ def add_logo(png_file):
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  )
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  add_logo("logoo.png")
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- st.markdown("<h2 style='text-align: center; color: black;'>This is the demo for the usecases we've worked on.</h1>", unsafe_allow_html=True)
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-
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- st.markdown("<h3 style='text-align: center; color: black;'>Select a demo from the sidebar to see some examples of what we can do!!! </h2>", unsafe_allow_html=True)
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  paragraph = """
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  <span style="color:black;">As a data AI team, our capabilities are demonstrated through the functionalities showcased on our demo site.
@@ -69,9 +66,14 @@ Our team's expertise lies in delivering innovative solutions that harness the po
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  # Display the paragraph with black color within a Streamlit HTML element
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  st.markdown(paragraph, unsafe_allow_html=True)
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  st.markdown("<h3 style='text-align: center; color: black;'>What is GenAI?!!! </h2>", unsafe_allow_html=True)
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- g_p = """"<span style="color:black;">GenAI" likely 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>"""
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- st.markdown(paragraph, unsafe_allow_html=True)
 
 
 
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  footer="""<style>
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  a:link , a:visited{
 
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  def build_markup_for_logo(
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  png_file,
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  background_position="50% 10%",
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+ margin_top="5%",
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  image_width="60%",
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  image_height="",
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  ):
 
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  )
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  add_logo("logoo.png")
 
 
 
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  paragraph = """
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  <span style="color:black;">As a data AI team, our capabilities are demonstrated through the functionalities showcased on our demo site.
 
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  # Display the paragraph with black color within a Streamlit HTML element
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  st.markdown(paragraph, unsafe_allow_html=True)
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  st.markdown("<h3 style='text-align: center; color: black;'>What is GenAI?!!! </h2>", unsafe_allow_html=True)
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+ 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>"""
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+ st.markdown(g_p, unsafe_allow_html=True)
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+
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+ 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>"""
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+ st.markdown(d_l, unsafe_allow_html=True)
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+ 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>"""
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+ st.markdown(m_l, unsafe_allow_html=True)
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  footer="""<style>
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  a:link , a:visited{