Update app.py

app.py

@@ -5,13 +5,14 @@ from langchain_huggingface import HuggingFaceEndpoint
 from langchain_core.messages import BaseMessage, HumanMessage
 from langgraph.graph import MessageGraph, END
 from typing import Sequence
+import os
+
+load_dotenv()
+HF_TOKEN = os.getenv("HF_TOKEN")
+WEATHER_TOKEN = os.getenv("WEATHER_TOKEN")
 
 # streamlit app
 st.title("City Weather Information with AI Review")
-OPENWEATHER_API_KEY = st.sidebar.text_input("Enter Weather API Key", type="password")
-st.sidebar.write("Check out this [Weather API](https://home.openweathermap.org/api_keys) to generate API key")
-HF_TOKEN = st.sidebar.text_input("Enter Hugging Face API Key", type="password")
-st.sidebar.write("Check out this [Hugging Face Token](https://huggingface.co/settings/tokens) to generate token")
 city = st.text_input("Enter the name of a city:")
 
 # Initialize the HuggingFace inference endpoint
@@ -25,7 +26,7 @@ llm = HuggingFaceEndpoint(
 # Define nodes
 def fetch_weather_node(state: Sequence[BaseMessage]) -> str:
     city = state[0].content.strip()
-    url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={OPENWEATHER_API_KEY}&units=metric"
+    url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={WEATHER_TOKEN}&units=metric"
     
     try:
         response = httpx.get(url)