aiModel2 / src /streamlit_app.py
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Update src/streamlit_app.py
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# import altair as alt
# import numpy as np
# import pandas as pd
# import streamlit as st
# """
# # Welcome to Streamlit!
# Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
# If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
# forums](https://discuss.streamlit.io).
# In the meantime, below is an example of what you can do with just a few lines of code:
# """
# num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
# num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
# indices = np.linspace(0, 1, num_points)
# theta = 2 * np.pi * num_turns * indices
# radius = indices
# x = radius * np.cos(theta)
# y = radius * np.sin(theta)
# df = pd.DataFrame({
# "x": x,
# "y": y,
# "idx": indices,
# "rand": np.random.randn(num_points),
# })
# st.altair_chart(alt.Chart(df, height=700, width=700)
# .mark_point(filled=True)
# .encode(
# x=alt.X("x", axis=None),
# y=alt.Y("y", axis=None),
# color=alt.Color("idx", legend=None, scale=alt.Scale()),
# size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
# ))
import streamlit as st
import os
from groq import Groq
# Custom function to load variables from a .env file
def load_dotenv(filepath=".env"):
try:
with open(filepath, "r") as f:
for line in f:
line = line.strip()
# Skip comments and empty lines
if not line or line.startswith("#"):
continue
if "=" in line:
key, value = line.split("=", 1)
os.environ.setdefault(key.strip(), value.strip())
except FileNotFoundError:
st.error("No .env file found. Please create one with your API key.")
except Exception as e:
st.error(f"Error loading .env file: {e}")
# Load environment variables from the .env file
load_dotenv()
def main():
st.title("Samyotech Chatbot")
# Fetch API key from environment variables
groq_api_key = os.environ.get("GROQ_API_KEY")
if groq_api_key:
client = Groq(api_key=groq_api_key)
st.write("### Chat with LLM")
user_input = st.text_area("Enter your message:")
if st.button("Generate Response"):
if user_input.strip():
try:
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[
{"role": "user", "content": user_input}
]
)
st.write("### Response:")
st.write(response.choices[0].message.content)
except Exception as e:
st.error(f"Error: {e}")
else:
st.warning("Please enter a message to generate a response.")
else:
st.error("API key not found. Please ensure your .env file contains GROQ_API_KEY.")
if __name__ == "__main__":
main()