File size: 2,801 Bytes
ad5e7c5 0e9c64b ad5e7c5 2b674bb 0e9c64b 2b674bb ad5e7c5 737c9f8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | import os
from groq import Groq
import streamlit as st
from dotenv import load_dotenv
# Load API key from .env file
load_dotenv()
api_key = os.getenv("GROQ_API_KEY")
# Initialize the Groq client
client = Groq(api_key=api_key)
# Define the programming development topics for the chatbot
developer_topics = [
"best programming languages", "web development frameworks", "version control with Git",
"debugging tips", "data structures and algorithms", "object-oriented programming",
"functional programming", "software design patterns", "API design and development",
"devops practices", "cloud computing", "front-end development", "back-end development",
"machine learning", "deep learning", "software testing and QA", "agile methodologies",
"CI/CD pipelines", "database design", "programming best practices", "security in development",
"mobile app development", "project management for developers", "open source contribution",
"developer tools and IDEs", "documentation and code commenting", "coding interview preparation"
]
# Function to fetch chatbot completion from Groq API
def get_response(query):
try:
completion = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[{"role": "user", "content": query}],
temperature=0.7,
max_completion_tokens=2024,
top_p=1,
)
response = completion.choices[0].message.content
return response
except Exception as e:
return f"Error: {str(e)}"
def main():
st.title("Programming Developer Advisor Chatbot")
# Let the user choose a developer-related topic or type a custom query
topic = st.selectbox("Choose a programming topic", developer_topics)
user_input = st.text_area("Or ask a programming-related question:", "")
# Add a submit button to trigger the response
submit_button = st.button("Submit")
# If the user clicks the submit button, process the query
if submit_button:
if user_input:
query = user_input
# Check if the user input is related to a programming topic
if any(topic.lower() in user_input.lower() for topic in developer_topics):
response = get_response(query)
st.write("### Response:")
# Display the response with proper formatting, and if it is long, we can show it in a scrollable container
st.markdown(f"#### Query: {query}")
st.text_area("Response:", response, height=300)
else:
st.write("Sorry, I can only answer programming-related questions.")
else:
st.write("Please enter a programming-related question or choose a topic.")
if __name__ == "__main__":
main()
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