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 business topics for the chatbot business_topics = [ "marketing strategies", "business growth", "entrepreneurship", "sales techniques", "investment strategies", "financial planning", "startup advice", "business management", "leadership", "branding", "customer service", "business ethics", "negotiation", "time management", "networking", "scaling a business", "business models", "product development", "team building", "strategic planning", "e-commerce", "online marketing", "fundraising", "small business", "business automation", "social media marketing", "corporate social responsibility", "business partnerships" ] # 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=1024, top_p=1, ) response = completion.choices[0].message.content return response def main(): st.title("Business Advice Chatbot") # Let the user choose a business topic or type a custom query topic = st.selectbox("Choose a business topic", business_topics) user_input = st.text_area("Or ask a business-related question:", "") # If the user provides a query, we use that query = user_input if user_input else f"Tell me about {topic}" # Create a submit button submit_button = st.button("Submit") # Call the Groq API to get the response if the button is clicked if submit_button and query: response = get_response(query) # Display the response st.write("### Response:") st.write(response) # Handle unrelated queries if user_input and not any(topic in user_input.lower() for topic in business_topics): st.write("Sorry, I can only answer business-related questions.") if __name__ == "__main__": main()