initial

requirements.txt

@@ -1,3 +1,3 @@
-altair
-pandas
+requests
+dotenv
 streamlit

src/.env

@@ -0,0 +1 @@
+OPENWEATHER_API_KEY = affa4f93a0cbf32b36ea6a33e34ce132

src/func.py

@@ -0,0 +1,35 @@
+import requests
+import os
+from dotenv import load_dotenv
+
+# Load your API key from .env file
+load_dotenv()
+API_KEY = os.getenv("OPENWEATHER_API_KEY")
+
+def get_weather(city):
+    """
+    This function takes an city name as input, then uses the Open Weather API to 
+    retrieve temp in celsius, humidity, and description
+    """
+
+    url = "https://api.openweathermap.org/data/2.5/weather"
+
+    params = {
+        "q": city,
+        "appid": API_KEY,
+        "units": "metric"  # temperature in Celsius
+    }
+
+    response = requests.get(url, params=params)
+
+    data = response.json()
+
+    humidity = data["main"]["humidity"]
+    temp = data["main"]["temp"]
+    description = data["weather"][0]["description"]
+
+    return temp, humidity, description
+# print(f"City = {city}")
+# print(f"Temperature = {temp}")
+# print(f"Humidity = {humidity}")
+# print(f"Description = {description}")

src/streamlit_app.py

@@ -1,40 +1,14 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+from func import get_weather
 
-"""
-# Welcome to Streamlit!
+st.title("Weather App")
+city = st.text_input("What city would you like to know the weather for?")
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+st.image("https://media.istockphoto.com/id/1257525705/photo/the-changes-of-weather-a-natural-phenomenon-of-the-differences-of-four-seasons.jpg?s=612x612&w=0&k=20&c=pd2FEbZITpqphzEJ51FBQFexzniU0AZNJctpksrehYQ=", use_column_width=True)
 
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+if city:
+    temp, humidity, description = get_weather(city)
+    st.write("Welcome to", city)
+    st.write("Temperature is", temp)
+    st.write("Humidity is", humidity)
+    st.write("The skies show", description)