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import os | |
from groq import Groq | |
GROQ_API_KEY = os.getenv("GROQ_API_KEY") | |
if not GROQ_API_KEY: | |
raise RuntimeError("GROQ_API_KEY environment variable not set. Please set it to your Groq API key.") | |
groq_client = Groq(api_key=GROQ_API_KEY) | |
def get_llm_response(user_text, context, emotion, tone_instruction): | |
prompt = f""" | |
You are a helpful and emotionally aware assistant. | |
The user's emotional state is: {emotion}. | |
{tone_instruction} | |
Using the following context, answer the user's question: | |
--- | |
{context} | |
--- | |
Question: {user_text} | |
""" | |
completion = groq_client.chat.completions.create( | |
model="meta-llama/llama-4-scout-17b-16e-instruct", | |
messages=[{"role": "user", "content": prompt}], | |
temperature=1, | |
max_completion_tokens=1024, | |
top_p=1, | |
stream=False, | |
stop=None, | |
) | |
return completion.choices[0].message.content |