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from services.gemini_client import get_gemini_client
import logging
logger = logging.getLogger(__name__)
async def get_chatbot_response(user_text: str) -> str:
"""
Generate chatbot response using Gemini API.
Args:
user_text: User input text
Returns:
Chatbot response text
Raises:
Exception: If response generation fails
"""
try:
client = get_gemini_client()
logger.info(f"Generating chatbot response for: '{user_text}'")
# Create a system prompt for better responses
system_prompt = """You are a helpful, friendly AI assistant.
Respond concisely and naturally to user queries.
Keep responses brief (1-2 sentences) for voice interaction."""
# Combine system prompt with user input
full_prompt = f"{system_prompt}\n\nUser: {user_text}"
response = client.models.generate_content(
model="gemini-2.0-flash-exp", # Using a model that definitely exists
contents=[full_prompt]
)
response_text = response.text
logger.info(f"✓ Response generated: '{response_text}'")
return response_text
except Exception as e:
logger.error(f"✗ Chatbot response failed: {str(e)}")
# Fallback response
return f"I understood you said: '{user_text}'. Could you tell me more?" |