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Lin Chen
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Parent(s):
bb74dbf
DLA GUI
Browse files- DLA.png +0 -0
- app.py +105 -0
- requirements.txt +1 -0
DLA.png
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app.py
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import base64
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import streamlit as st
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# Set page configuration
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st.set_page_config(
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page_title="DLA",
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page_icon=":robot:",
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layout="centered",
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initial_sidebar_state="collapsed",
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)
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# Custom CSS to change the background color and add a logo
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st.markdown(
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"""
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<style>
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.stApp {
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background-color: black;
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color: white;
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}
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.logo-container {
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margin-bottom: 20px;
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}
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.logo {
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width: 150px;
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}
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.chat-container {
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border-radius: 10px;
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padding: 5px;
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margin-top: 20px;
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width: 100%;
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}
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.qa-container {
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border-top: 1px dashed silver;
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border-bottom: 1px dashed silver;
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padding: 10px;
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margin-top: 20px;
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width: 100%;
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}
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.message {
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margin-bottom: 15px;
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padding: 10px;
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border-radius: 5px;
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}
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.user-message {
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background-color: #373749;
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color: silver;
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}
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.bot-message {
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background-color: #333333;
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color: silver;
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}
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</style>
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""",
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unsafe_allow_html=True,
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)
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def get_image_base64(image_path):
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with open(image_path, "rb") as img_file:
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return base64.b64encode(img_file.read()).decode()
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image_base64 = get_image_base64("./DLA.png")
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# Add logo at the top
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st.markdown(
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f"""
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<div class="logo-container">
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<div style = "text-align:left; border: width: 15%; float:left"><img src="data:image/png;base64,{image_base64}" alt="Logo" style="width:80px;"></div>
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<div style = "color:#FFD700; text-shadow: 5px 5px #99ccff; font-family:Cursive; font-size:48px; font-weight:bold; text-align:center; width: 80%; float:left">DLA GPT</div>
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</div>
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""",
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unsafe_allow_html=True,
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)
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# Chatbot interaction logic
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if "messages" not in st.session_state:
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st.session_state.messages = []
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def get_bot_response(user_message):
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# Simple bot response logic (you can replace this with a more complex chatbot model)
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if "hello" in user_message.lower():
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return "Hello! How can I help you today?"
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else:
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return "I'm here to assist you with any questions you have."
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def display_history():
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# Chat interface
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st.markdown("<div class='chat-container' style = 'color: #9999b2; font-weight:bold; font-style: italic;'>Here is the answer", unsafe_allow_html=True)
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for message in st.session_state.messages[:10]:
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st.markdown(f"<div class = 'qa-container'><div class='message user-message'><b>You</b>: {message[0]}</div><div class='message bot-message'><b>Bot</b>: {message[1]}</div></div>", unsafe_allow_html=True)
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st.markdown("</div>", unsafe_allow_html=True)
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def main():
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user_input = st.text_input(" ", "")
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if user_input:
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bot_response = get_bot_response(user_input)
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message_pair = (user_input, bot_response)
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st.session_state.messages.insert(0, message_pair)
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display_history()
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if __name__ == '__main__':
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main()
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requirements.txt
ADDED
@@ -0,0 +1 @@
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streamlit
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