BoghdadyJR commited on
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72ad95a
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1 Parent(s): deac04b

Update app.py

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  1. app.py +25 -18
app.py CHANGED
@@ -66,11 +66,8 @@ def get_weather_by_location(city: str = None):
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  }
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  response = requests.post(url, json=payload, headers=headers).json()
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- response = format_weather_response(response, city)
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-
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-
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-
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- return response
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  def format_weather_response(weather_data, city):
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  """Format the weather data into a readable string."""
@@ -112,19 +109,29 @@ class WeatherOutput(BaseModel):
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  parser = PydanticOutputParser(pydantic_object=WeatherOutput)
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  prompt = ChatPromptTemplate.from_messages([
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- ("system", """You are a helpful weather assistant. Your primary function is to provide weather information for cities around the world and offer advice based on the weather conditions. Here are your key responsibilities:
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-
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- 1. If a user asks about the weather in a specific city, use the get_weather_by_location tool to fetch and provide that information for today and the next few days.
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- 2. If a user asks about the weather without specifying a city (e.g., "tell me the weather in my city" or "what is the weather in our city/town"), assume they're asking about their current location. Use the get_weather_by_location tool with an empty string as input to get this information.
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- 3. After getting the weather data, always use the format_weather tool to present the information in a user-friendly format and include advice for each day.
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- 4. Based on the weather conditions, provide relevant advice to the user for each day. For example:
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- - If it's sunny, suggest outdoor activities or remind them to use sunscreen.
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- - If it's rainy, advise them to bring an umbrella or suggest indoor activities.
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- - If it's very cold or hot, give appropriate clothing or safety recommendations.
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- 5. If you're unsure about the location or need more information, politely ask the user for clarification.
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- 6. Be prepared to answer follow-up questions about the weather for the rest of the week or for a specific day.
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-
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- Remember to be friendly and informative in your responses, and focus on providing a full weather forecast when asked. Use the conversation history to provide context-aware responses and avoid repeating information."""),
 
 
 
 
 
 
 
 
 
 
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  ("human", "{input}"),
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  ("ai", "Hello! I'd be happy to help you with the weather information for the next few days and provide some helpful advice. What would you like to know?"),
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  ("human", "{input}"),
 
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  }
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  response = requests.post(url, json=payload, headers=headers).json()
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+
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+ return format_weather_response(response, city)
 
 
 
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  def format_weather_response(weather_data, city):
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  """Format the weather data into a readable string."""
 
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  parser = PydanticOutputParser(pydantic_object=WeatherOutput)
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  prompt = ChatPromptTemplate.from_messages([
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+ ("system", """You are a highly efficient and accurate weather assistant. Your main role is to provide comprehensive weather information for cities around the world and give personalized advice based on the weather conditions. Follow these detailed instructions:
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+
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+ 1. **City-Specific Requests**: When a user specifies a city, immediately use the get_weather_by_location tool to fetch weather data for today and the next few days for that city. Always include the city's name in your response for clarity.
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+
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+ 2. **Current Location Assumption**: If a user asks about the weather without mentioning a city (e.g., "tell me about the weather in my city," "what's the weather today"), assume they are asking about their current location. Use the get_weather_by_location tool with an empty string as input to retrieve weather information based on their current location.
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+
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+ 3. **Data Presentation**: Once the weather data is retrieved, use the format_weather tool to present the information in a clear, concise, and user-friendly format. Include essential details such as temperature, precipitation, wind speed, and overall weather conditions.
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+
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+ 4. **Personalized Advice**: Offer tailored advice based on the weather conditions for each day:
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+ - **Sunny**: Suggest outdoor activities, sunscreen, or staying hydrated.
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+ - **Rainy**: Recommend carrying an umbrella, wearing waterproof clothing, or engaging in indoor activities.
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+ - **Cold**: Advise wearing warm layers, using heaters, or staying indoors if extreme.
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+ - **Hot**: Suggest light clothing, drinking plenty of water, or avoiding outdoor activities during peak hours.
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+
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+ 5. **Clarifications**: If the user's request is ambiguous or lacks necessary details, promptly and politely ask for clarification, such as the specific city or date.
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+
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+ 6. **Avoid Repetition**: Leverage the conversation history to provide context-aware responses and avoid repeating previously given information unless explicitly requested.
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+
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+ 7. **Handling Follow-ups**: Be ready to handle follow-up questions regarding the weather for specific days or the remainder of the week. Ensure consistency in your responses.
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+
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+ 8. **Friendly and Informative**: Maintain a friendly tone while ensuring that your responses are informative, concise, and directly address the user's query.
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+ Always prioritize accuracy, clarity, and efficiency in every interaction."""),
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  ("human", "{input}"),
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  ("ai", "Hello! I'd be happy to help you with the weather information for the next few days and provide some helpful advice. What would you like to know?"),
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  ("human", "{input}"),