Course Introduction

from dotenv import load_dotenv
import os

# Loads variables from .env into the environment during local development
load_dotenv()

# Verify that an API key is present (prints True/False)
print(bool(os.environ.get("OPENAI_API_KEY")))

import asyncio
from agents import Agent, Runner, WebSearchTool

fav_stock = ["Google", "Apple", "Nvidia"]

async def main():
    agent = Agent(
        name="Stock News Expert",
        instructions=(
            "You are a stock news expert. Review recent news for the given companies "
            "and summarize key events."
        ),
        tools=[WebSearchTool()]  # Provide any necessary tools as a list
    )

    runner = Runner(agent=agent)
    # Run the agent on the list of stock names (frameworks may vary)
    await runner.run(tasks=fav_stock)

if __name__ == "__main__":
    asyncio.run(main())

import os
import re
import openai

openai.api_key = os.environ.get("OPENAI_API_KEY")

def analyze_language_and_emotion(text: str) -> dict:
    system_msg = (
        "You are an AI that analyzes messages. Detect the language (e.g., English, French) "
        "and describe the emotional tone in one word (e.g., joyful, sad, angry, professional, excited, persuasive). "
        "Respond in the format:\nLanguage: <language>\nEmotion: <emotion>"
    )

    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": system_msg},
            {"role": "user", "content": f"Here is the message:\n{text}"}
        ],
        temperature=0.3
    )

    content = response["choices"][0]["message"]["content"].strip()

    language_match = re.search(r"Language:\s*(\w+)", content, re.IGNORECASE)
    emotion_match = re.search(r"Emotion:\s*(\w+)", content, re.IGNORECASE)

    return {
        "language": language_match.group(1) if language_match else "Unknown",
        "emotion": emotion_match.group(1) if emotion_match else "Unknown"
    }

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),
    base_url=os.environ.get("OPENAI_API_BASE")  # optional custom base URL
)