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| import os | |
| import streamlit as st | |
| from groq import Groq | |
| from dotenv import load_dotenv | |
| # Load environment variables | |
| load_dotenv() | |
| GROQ_API_KEY = os.getenv("GROQ_API_KEY") | |
| if not GROQ_API_KEY: | |
| st.error("GROQ_API_KEY not found. Please set it before running the app.") | |
| st.stop() | |
| # Initialize the Groq client | |
| client = Groq(api_key=GROQ_API_KEY) | |
| def get_groq_response(user_input): | |
| try: | |
| chat_completion = client.chat.completions.create( | |
| messages=[ | |
| {"role": "user", "content": user_input} | |
| ], | |
| model="llama-3.3-70b-versatile", | |
| ) | |
| return chat_completion.choices[0].message.content | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| # Streamlit UI | |
| st.title("Hugging Face + GROQ API Chatbot") | |
| user_input = st.text_area("Enter your message:") | |
| if st.button("Generate Response"): | |
| if user_input: | |
| response = get_groq_response(user_input) | |
| st.write("**GROQ Response:**") | |
| st.write(response) | |
| else: | |
| st.warning("Please enter a message before submitting.") | |