adding some fancy UI
Browse files
app.py
CHANGED
@@ -1,3 +1,4 @@
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import os
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import keyfile
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import warnings
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@@ -57,3 +58,108 @@ if submit and user_input:
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response = load_answer(user_input)
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st.subheader("Answer:")
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st.write(response)
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"""
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import os
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import keyfile
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import warnings
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response = load_answer(user_input)
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st.subheader("Answer:")
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st.write(response)
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"""
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import os
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import keyfile
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import warnings
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import streamlit as st
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain.schema import HumanMessage, SystemMessage, AIMessage
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from streamlit_extras.add_vertical_space import add_vertical_space
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# Ignore warnings
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warnings.filterwarnings("ignore")
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# Streamlit settings
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st.set_page_config(page_title="πΏ Magical Healer", page_icon="π§ββοΈ", layout="centered")
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st.markdown("<h1 style='text-align: center; color: #4B0082;'>Welcome to the Magical Healer π§ββοΈπΏ</h1>", unsafe_allow_html=True)
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st.write("### How can I assist with your ailments or worries? π§ͺβ¨")
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# Add some vertical space
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add_vertical_space(2)
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# Initialize session state for messages with an introductory message
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if "sessionMessages" not in st.session_state:
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st.session_state["sessionMessages"] = [
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SystemMessage(content="You are a medieval magical healer known for your peculiar sarcasm.")
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]
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# Set Google API key
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os.environ["GOOGLE_API_KEY"] = keyfile.GOOGLEKEY
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# Initialize the model
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llm = ChatGoogleGenerativeAI(
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model="gemini-1.5-pro",
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temperature=0.7,
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convert_system_message_to_human=True
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)
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# Define a function to create chat bubbles
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def chat_bubble(message, is_user=True):
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align = 'right' if is_user else 'left'
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color = '#ADD8E6' if is_user else '#E6E6FA'
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border_radius = '25px' if is_user else '25px'
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st.markdown(f"""
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<div style="text-align: {align}; padding: 10px;">
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<span style="display: inline-block; padding: 10px; background-color: {color}; color: black;
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border-radius: {border_radius}; max-width: 70%;">
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{message}
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</span>
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</div>
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""", unsafe_allow_html=True)
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# Response function
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def load_answer(question):
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# Add user question to the message history
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st.session_state.sessionMessages.append(HumanMessage(content=question))
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# Get AI's response
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assistant_answer = llm.invoke(st.session_state.sessionMessages)
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# Append AI's answer to the session messages
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if isinstance(assistant_answer, AIMessage):
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st.session_state.sessionMessages.append(assistant_answer)
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return assistant_answer.content
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else:
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st.session_state.sessionMessages.append(AIMessage(content=assistant_answer))
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return assistant_answer
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# Capture user input
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def get_text():
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input_text = st.text_input("You: ", key="input", placeholder="Type your question here...")
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return str(input_text)
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# Main implementation
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user_input = get_text()
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submit = st.button("π Get a Magical Answer π")
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if submit and user_input:
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# Display the user's question
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chat_bubble(user_input, is_user=True)
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# Load the response and display it as a chat bubble
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response = load_answer(user_input)
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chat_bubble(response, is_user=False)
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# Background styling and layout enhancements
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st.markdown("""
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<style>
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.stApp {
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background: linear-gradient(to right, #FFEFBA, #FFFFFF);
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color: #4B0082;
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font-family: Arial, sans-serif;
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}
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input[type="text"] {
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padding: 8px;
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border: 2px solid #4B0082;
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border-radius: 15px;
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outline: none;
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}
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button {
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background-color: #4B0082;
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color: white;
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border-radius: 15px;
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}
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</style>
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""", unsafe_allow_html=True)
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