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Update src/streamlit_app.py

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  1. src/streamlit_app.py +56 -38
src/streamlit_app.py CHANGED
@@ -1,40 +1,58 @@
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- import altair as alt
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- import numpy as np
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- import pandas as pd
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  import streamlit as st
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- """
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- # Welcome to Streamlit!
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-
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- Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
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- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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- forums](https://discuss.streamlit.io).
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-
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- In the meantime, below is an example of what you can do with just a few lines of code:
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- """
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-
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- num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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- num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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-
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- indices = np.linspace(0, 1, num_points)
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- theta = 2 * np.pi * num_turns * indices
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- radius = indices
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-
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- x = radius * np.cos(theta)
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- y = radius * np.sin(theta)
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-
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- df = pd.DataFrame({
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- "x": x,
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- "y": y,
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- "idx": indices,
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- "rand": np.random.randn(num_points),
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- })
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-
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- st.altair_chart(alt.Chart(df, height=700, width=700)
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- .mark_point(filled=True)
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- .encode(
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- x=alt.X("x", axis=None),
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- y=alt.Y("y", axis=None),
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- color=alt.Color("idx", legend=None, scale=alt.Scale()),
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- size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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- ))
 
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+
 
 
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  import streamlit as st
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+ from google import genai
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+ import os
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+ # Set GEMINI_API_KEY from GOOGLE_API_KEY if not already set
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+ if not os.getenv('GEMINI_API_KEY'):
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+ os.environ["GEMINI_API_KEY"] = os.getenv("GOOGLE_API_KEY")
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+
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+ # initializes chat client
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+ if 'client' not in st.session_state:
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+ st.session_state['client'] = genai.Client()
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+
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+ st.set_page_config(page_title="AI Chat Demo", page_icon="💬", layout="centered")
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+
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+ # Initialize chat history in session state
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+ if "messages" not in st.session_state:
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+ st.session_state["messages"] = [
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+ {"role": "ai", "content": "👋 Welcome! How can I help you today?"}
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+ ]
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+ st.session_state["dummy_idx"] = 0
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+
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+
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+ st.title("AI Chat Demo")
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+
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+ # Chat history display
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+
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+ chat_container = st.container()
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+ with chat_container:
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+ for msg in st.session_state["messages"]:
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+ if msg["role"] == "user":
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+ st.markdown(f"<div style='text-align: right; color: #1a73e8;'><b>You:</b> {msg['content']}</div>", unsafe_allow_html=True)
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+ else:
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+ st.markdown(f"<div style='text-align: left; color: #444;'><b>AI:</b> {msg['content']}</div>", unsafe_allow_html=True)
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+
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+ # User input
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+ with st.form(key="chat_form", clear_on_submit=True):
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+ user_input = st.text_input("Type your message:", "", key="input")
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+ submitted = st.form_submit_button("Send")
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+
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+ _ = st.button("Clear Chat", on_click=lambda: st.session_state.clear(), key="clear_chat")
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+
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+
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+ if submitted and user_input.strip():
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+ # Add user message
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+ st.session_state["messages"].append({"role": "user", "content": user_input.strip()})
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+
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+ # Prepare the content for the AI model by joining all messages with role tags
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+ content = " /n ".join(f'<{msg["role"]}> {msg["content"]}' for msg in st.session_state["messages"])
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+
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+ # Generate AI response using the prepared content
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+ ai_message = st.session_state['client'].models.generate_content(
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+ model="gemini-2.5-flash",
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+ contents=content
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+ ).text
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+
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+ st.session_state["messages"].append({"role": "ai", "content": ai_message})
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+ st.rerun()