import gradio as gr
import openai
import requests
import datetime

openai.api_key = "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"
weather_api_key = "1aafc3163909c1493596da9340e00aee"

def get_weather_data(city):
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={weather_api_key}&units=metric"
    response = requests.get(url)
    data = response.json()

    if data["cod"] == "404":
        return "City not found."

    weather = data["weather"][0]["description"]
    temperature = data["main"]["temp"]
    location = data["name"]
    time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    
    return f"Location: {location}\nTime: {time}\nWeather: {weather}\nTemperature: {temperature}°C"

def get_weather_feedback(user_input):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"The weather today is {user_input}.",
        max_tokens=50,
        n=1,
        stop=None,
        temperature=0.6
    )
    feedback = response.choices[0].text.strip()
    return feedback

iface = gr.Interface(
    fn=get_weather_data,
    inputs="text",
    outputs="text",
    title="Weather Forecast",
    description="Enter the name of a city to get the weather forecast.",
    examples=[["New York"], ["London"], ["Tokyo"]]
)

feedback_iface = gr.Interface(
    fn=get_weather_feedback,
    inputs="text",
    outputs="text",
    title="Feedback",
    description="Enter a weather description to get feedback.",
    examples=[["sunny"], ["rainy"], ["cloudy"]]
)

if __name__ == "__main__":
    iface.launch()