Update app.py

app.py

@@ -18,9 +18,9 @@ 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 {temp} degrees Celsius with about {humidity} percent humidity. The weather of the city can be best described as {description} with a short fun fact."
+    system = f"Today in {city}, it feels like {temp}°C with {humidity}% humidity. The sky is {description}. Can you share a fun fact about {city}?"
     human = "{text}"
     prompt = ChatPromptTemplate.from_messages(
         [("system", system), ("human", human)]
@@ -29,11 +29,11 @@ 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
-    final_response = f"🌍 {city.upper()} Weather Insight: {output} {weather_emoji}\n🌡️ Temp: {temp}°C, 💧 Humidity: {humidity}%."
+    # Creating the final response string
+    final_response = f"📍 {city.upper()} Update: {output} {weather_emoji}"
 
     return final_response
 
@@ -43,7 +43,7 @@ iface = gr.Interface(
     inputs=gr.Textbox(label="Enter City Name", placeholder="Type city here..."),
     outputs=gr.Textbox(label="Weather Report and Insight"),
     title="WeatherAssistantApp",
-    description="Enter a city name to get a detailed weather report with an AI-generated insight."
+    description="Enter a city name to get a concise weather report with an engaging AI-generated city insight."
 )
 
 iface.launch()