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'''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?", [])) |