Update app.py

app.py

@@ -20,7 +20,7 @@ def get_weather_and_insight(city):
 
     # Generate a creative weather summary using LangChain LLM
     groq_api_key = os.getenv("GROQ_API_KEY")
-    system = f"Local weather update for {city}: {temp}°C, {description}. Provide a fun fact about {city}."
+    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}"
     prompt = ChatPromptTemplate.from_messages(
         [("system", system), ("human", human)]
@@ -32,8 +32,8 @@ def get_weather_and_insight(city):
     # Add 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, avoiding repetition
-    final_response = f"🌍 Weather Update for {city}: {temp}°C, {humidity}% humidity, described as {description} {weather_emoji}. Insight: {output}"
+    # Create the final response string
+    final_response = f"🌍 {city.upper()} Weather Insight: {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 concise weather report with an AI-generated insight."
+    description="Enter a city name to get a detailed weather report with an AI-generated insight."
 )
 
-iface.launch()
+iface.launch()