import os
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage

# Ensure the environment variable for the API key is set
os.environ["MISTRAL_API_KEY"] = "API_KEY"
api_key = os.environ.get("MISTRAL_API_KEY")
if not api_key:
    raise ValueError("MISTRAL_API_KEY environment variable not set")

model = "mistral-tiny"

client = MistralClient(api_key=api_key)
#we can tak input_var from frontend
input_var = "Exam data Analysis"

messages = [
    ChatMessage(role="user", content=f"Generate 10 specific, industry relevant goals for {input_var} using Python and Pandas. Each goal should include a brief name and a one-sentence description of the task or skill. Focus on practical applications in educational assessment, covering areas such as data processing, statistical analysis, visualization, and advanced techniques")
]

# # Ensure the model name is correct and exists
response = client.chat(model=model, messages=messages)
content = response.choices[0].message.content


print(content)