Update app.py

app.py

@@ -6,7 +6,7 @@ from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 
 def get_weather_and_insight(city):
-    # Fetch weather data
+    # Fetching weather data
     url = f'http://api.openweathermap.org/data/2.5/weather?q={city}&appid={os.getenv("OPENWEATHER_API_KEY")}&units=metric'
     res = requests.get(url)
     data = res.json()
@@ -18,7 +18,7 @@ def get_weather_and_insight(city):
     temp = data.get('main', {}).get('temp')
     description = data.get('weather', [{}])[0].get('description')
 
-    # Generate a creative weather summary using LangChain LLM
+    # Generating a creative weather summary using LangChain LLM
     groq_api_key = os.getenv("GROQ_API_KEY")
     system = f"You are a local weather reporter bringing the latest update for {city}. Right now, it's \n🌡️ {temp}°C, degrees Celsius with about 💧 {humidity}% percent humidity. The weather of the city can be best described as {description} with a short fun fact."
     human = "{text}"
@@ -29,10 +29,10 @@ def get_weather_and_insight(city):
     chain = prompt | chat | StrOutputParser()
     output = chain.invoke({"text": city})
 
-    # Add emojis for visual flair
+    # Adding emojis for visual flair
     weather_emoji = "☀️" if "clear" in description else "☁️" if "cloud" in description else "🌧️" if "rain" in description else "❄️" if "snow" in description else "🌫️"
     
-    # Create the final response string
+    # Creating the final response string
     final_response = f"🌍 {city.upper()} Weather Insight: {output} {weather_emoji}"
 
     return final_response