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99faa1eecb
This commit finalizes Phase 4 of the project by implementing the LLM and scheduler integrations. - Implements `get_smart_response` in `app/llm.py` to generate AI-powered responses using the OpenAI API. - Implements a daily summary scheduler in `app/scheduler.py` using the `JobQueue` from `python-telegram-bot` for better integration with the application's event loop. - Adds `get_events_for_day` to `app/calendar.py` to fetch daily events for the summary. - Integrates the scheduler into the main application loop in `app/main.py`. - Improves the date formatting in the daily summary for better readability. - Updates `tasks.md` to reflect the completion of Phase 4.
27 lines
755 B
Python
27 lines
755 B
Python
# app/llm.py
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import openai
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from app.config import OPENAI_API_KEY
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def get_smart_response(prompt):
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"""
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Generates a smart response using an LLM.
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"""
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if not OPENAI_API_KEY:
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return "OpenAI API key not configured."
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openai.api_key = OPENAI_API_KEY
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try:
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt},
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],
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)
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return response.choices[0].message.content.strip()
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except Exception as e:
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print(f"An error occurred with OpenAI: {e}")
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return "I'm sorry, I couldn't generate a response right now."
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