Create app.py
Browse files
app.py
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import streamlit as st
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import requests
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import os
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from groq import Groq
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# Set up API keys and URLs
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google_api_key = "AIzaSyBP5XGE4ZtrH2nBJZb7qe3Pjhw61rQvjBM"
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google_weather_api_url = "https://api.openweathermap.org/data/2.5/weather"
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# Set up Groq API
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groq_api_key = "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"
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client = Groq(api_key=groq_api_key)
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# Streamlit UI
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st.title("Real-time Weather App with Groq Integration")
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# City input
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city = st.text_input("Enter city name")
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# Weather data display
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if city:
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# Google Weather API request
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params = {
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"q": city,
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"appid": google_api_key,
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"units": "metric" # For temperature in Celsius; use "imperial" for Fahrenheit
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}
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try:
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response = requests.get(google_weather_api_url, params=params)
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response.raise_for_status() # Will raise an HTTPError for bad responses
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weather_data = response.json()
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if weather_data.get("cod") != 200:
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st.write(f"Error fetching weather data: {weather_data.get('message', 'Unknown error')}")
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else:
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# Display weather data
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st.write("Current Weather:")
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st.write(f"Temperature: {weather_data['main']['temp']}°C")
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st.write(f"Weather: {weather_data['weather'][0]['description'].capitalize()}")
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st.write(f"Humidity: {weather_data['main']['humidity']}%")
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st.write(f"Wind Speed: {weather_data['wind']['speed']} m/s")
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except requests.exceptions.RequestException as e:
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st.write(f"Error fetching weather data: {e}")
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# Groq API request
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try:
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chat_completion = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": "Explain the importance of fast language models",
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}
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],
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model="llama3-8b-8192",
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)
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st.write("Groq AI Response:")
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st.write(chat_completion.choices[0].message.content)
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except Exception as e:
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st.write(f"Error fetching Groq data: {e}")
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# Run the Streamlit app with `streamlit run your_script.py`
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