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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +80 -80
src/streamlit_app.py
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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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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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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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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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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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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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#
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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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# 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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# 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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# 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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# 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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# x = radius * np.cos(theta)
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# y = radius * np.sin(theta)
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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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# 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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import streamlit as st
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import os
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from groq import Groq
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# Custom function to load variables from a .env file
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def load_dotenv(filepath=".env"):
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try:
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with open(filepath, "r") as f:
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for line in f:
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line = line.strip()
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# Skip comments and empty lines
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if not line or line.startswith("#"):
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continue
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if "=" in line:
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key, value = line.split("=", 1)
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os.environ.setdefault(key.strip(), value.strip())
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except FileNotFoundError:
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st.error("No .env file found. Please create one with your API key.")
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except Exception as e:
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st.error(f"Error loading .env file: {e}")
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# Load environment variables from the .env file
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load_dotenv()
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def main():
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st.title("Samyotech Chatbot")
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# Fetch API key from environment variables
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groq_api_key = os.environ.get("GROQ_API_KEY")
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if groq_api_key:
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client = Groq(api_key=groq_api_key)
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st.write("### Chat with LLM")
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user_input = st.text_area("Enter your message:")
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if st.button("Generate Response"):
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if user_input.strip():
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try:
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[
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{"role": "user", "content": user_input}
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]
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)
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st.write("### Response:")
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st.write(response.choices[0].message.content)
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except Exception as e:
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st.error(f"Error: {e}")
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else:
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st.warning("Please enter a message to generate a response.")
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else:
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st.error("API key not found. Please ensure your .env file contains GROQ_API_KEY.")
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if __name__ == "__main__":
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main()
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