aiModel2 / app.py
itzneeraj06
deploy model
e35cf17
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()