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): 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 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:", "") # If the user provides a query (not from audio), use that directly if user_input: query = user_input response = get_response(query) st.write("### Response:") st.write(response) # Handle unrelated queries if user_input and not any(topic in user_input.lower() for topic in developer_topics): st.write("Sorry, I can only answer programming-related questions.") if __name__ == "__main__": main()