app.py

import streamlit as st
import requests
from groq import Groq

# Set up API keys and URLs
# Use your OpenWeatherMap API key
openweather_api_key = "aa4db8152e46c2f3fb19fad5d58a0ed8ddssd"
openweather_api_url = "https://api.openweathermap.org/data/2.5/weather"

# Set up Groq API
groq_api_key = "gsk_loI5Z6fHhtPZo25YmryjWGdyb3FYdfrw1oxGVCfZkwXRE79BAgHCO7c"
client = Groq(api_key=groq_api_key)

# Streamlit UI
st.title("Real-time Weather App")

# City input
city = st.text_input("Enter city name")

# Weather data display
if city:
 # OpenWeatherMap API request
 params = {
 "q": city,
 "appid": openweather_api_key,
 "units": "metric" # For temperature in Celsius; use "imperial" for Fahrenheit
 }
 
 try:
 response = requests.get(openweather_api_url, params=params)
 response.raise_for_status() # Will raise an HTTPError for bad responses

 weather_data = response.json()

 if weather_data.get("cod") != 200:
 st.write(f"Error fetching weather data: {weather_data.get('message', 'Unknown error')}")
 else:
 # Display weather data
 st.write("Current Weather:")
 st.write(f"City: {weather_data['name']}, {weather_data['sys']['country']}")
 st.write(f"Temperature: {weather_data['main']['temp']}°C")
 st.write(f"Weather: {weather_data['weather'][0]['description'].capitalize()}")
 st.write(f"Humidity: {weather_data['main']['humidity']}%")
 st.write(f"Wind Speed: {weather_data['wind']['speed']} m/s")
 
 except requests.exceptions.RequestException as e:
 st.write(f"Error fetching weather data: {e}")

 # Remove Groq API request and response handling
 # try:
 # chat_completion = client.chat.completions.create(
 # messages=[
 # {
 # "role": "user",
 # "content": "Explain the importance of fast language models",
 # }
 # ],
 # model="llama3-8b-8192",
 # )
 # st.write("Groq AI Response:")
 # st.write(chat_completion.choices[0].message.content)
 
 # except Exception as e:
 # st.write(f"Error fetching Groq data: {e}")