'''from openai import OpenAI
from dotenv import load_dotenv
import os
from prompts import ai_motivational_speaker

load_dotenv()
api_key = os.getenv("GEMINI_API_KEY")
model="gemini-2.5-flash-lite"
base_url="https://generativelanguage-googleapis.com/v1beta/openai/" 

client= OpenAI(base_url=base_url, api_key=api_key)

ai_motivational_speaker = ai_motivational_speaker
'''
'''
def get_response(message, history):
    messages=({"role":"system","content":ai_motivational_speaker})
    messages.extend(history)
    messages.append({"role":"user","content":message})
    response = client.chat.completions.create(
    model=model,
    messages = messages)

    ai_response = response.choices[0].message.content
    return ai_response

print(get_response("   hh  h   hhh  h  ", []))*'''
'''
def get_response(message, history):
    # Start messages with the system prompt to set the AI's persona
    messages = [{"role": "system", "content": ai_motivational_speaker}]

    # Extend the messages list with the existing chat history
    messages.extend(history)

    # Add the current user's message to the conversation
    messages.append({"role": "user", "content": message})

    # Call the OpenAI API to get a completion from the Gemini model
    response = client.chat.completions.create(model="gemini-2.5-flash", messages=messages)
    # Extract the AI's response content
    ai_response = response.choices[0].message.content
    
    # Return the AI's generated response
    return ai_response

# Main execution block to test the chatbot function
if __name__ == "__main__":
    # Print a test conversation with the chatbot
    print(get_response("Hello, Caramel AI! Can you tell me what AI is?", []))'''


from openai import OpenAI
from dotenv import load_dotenv
import os
from prompts import ai_motivational_speaker

load_dotenv()
api_key = os.getenv("GEMINI_API_KEY")
model ="gemini-2.5-flash-lite"
base_url = "https://generativelanguage.googleapis.com/v1beta/openai/"

client = OpenAI(api_key=api_key, base_url=base_url)

ai_motivational_speaker = ai_motivational_speaker


def get_response(message, history):
    messages = [{"role": "system", "content": ai_motivational_speaker}] 
    messages.extend(history)
    messages.append({"role": "user", "content": message})
    response  = client.chat.completions.create(
        model=model,
        messages=messages
    )
    Ai_response = response.choices[0].message.content
    return Ai_response

#if __name__ == "__main__":
   
   # print(get_response("Hello, Caramel AI! Can you tell me what AI is?", []))