| import requests | |
| import streamlit as st | |
| import groq | |
| # Access API keys from Streamlit secrets | |
| openweather_api_key = st.secrets["weather_api_key"] | |
| groq_api_key = st.secrets["groq_api_key"] | |
| # Function to get weather data from OpenWeatherMap | |
| def get_weather_data(city): | |
| api_key = openweather_api_key # Use the secret API key | |
| url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric" | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() # Raise an HTTPError if the HTTP request returned an unsuccessful status code | |
| return response.json() | |
| except requests.exceptions.HTTPError as err: | |
| st.error(f"HTTP error occurred: {err}") | |
| except Exception as err: | |
| st.error(f"An error occurred: {err}") | |
| return None | |
| # Function to parse weather data and categorize weather | |
| def parse_weather_data(weather_data): | |
| temperature = weather_data["main"]["temp"] | |
| weather_description = weather_data["weather"][0]["description"] | |
| return temperature, weather_description | |
| # Categorizing weather conditions | |
| def categorize_weather(description): | |
| description = description.lower() | |
| if "clear" in description or "sun" in description: | |
| return "Sunny", "☀️" | |
| elif "rain" in description or "drizzle" in description or "shower" in description: | |
| return "Rainy", "🌧️" | |
| elif "snow" in description or "sleet" in description: | |
| return "Cold", "❄️" | |
| elif "cloud" in description: | |
| return "Cloudy", "☁️" | |
| elif "wind" in description: | |
| return "Windy", "💨" | |
| elif "smoke" in description or "haze" in description: | |
| return "Smoky", "🌫️" | |
| else: | |
| return "Uncategorized", "🔍" | |
| # Function to get outfit suggestion using Groq's LLaMA model | |
| def get_outfit_suggestion(temperature, description, style, fabric, weather_category, weather_icon, time_of_day, activity): | |
| # Initialize Groq's API | |
| try: | |
| client = groq.Groq(api_key=groq_api_key) # Use the secret API key | |
| # Adjust the prompt based on the weather category | |
| prompt = f"The current weather is {description} with a temperature of {temperature}°C. The weather category is {weather_category}. The time of day is {time_of_day} and the user is planning to do {activity}. Suggest an outfit. The user prefers a {style} style and {fabric} fabric." | |
| # Use Groq's chat completion to get the text response | |
| response = client.chat.completions.create( | |
| messages=[{"role": "user", "content": prompt}], | |
| model="llama3-8b-8192", # Change to a valid Groq model if necessary | |
| ) | |
| return response.choices[0].message.content.strip(), weather_icon | |
| except Exception as e: | |
| st.error(f"Error using Groq API: {e}") | |
| return None, None | |
| # Streamlit UI for user input | |
| st.set_page_config(page_title="Weather-Based Outfit Suggestion", page_icon="🌤️", layout="wide") | |
| # Custom styles | |
| st.markdown("""<style> | |
| .reportview-container { | |
| background: linear-gradient(135deg, #ffcc00, #ff7b00); | |
| } | |
| .stButton>button { | |
| background-color: #ff5733; | |
| color: white; | |
| font-size: 18px; | |
| border-radius: 10px; | |
| padding: 10px; | |
| } | |
| .stTextInput input { | |
| font-size: 16px; | |
| padding: 10px; | |
| border-radius: 10px; | |
| } | |
| .stSelectbox select { | |
| font-size: 16px; | |
| padding: 10px; | |
| border-radius: 10px; | |
| } | |
| .stWrite, .stImage { | |
| font-family: "Arial", sans-serif; | |
| font-size: 18px; | |
| color: #333; | |
| } | |
| .weather-header { | |
| text-align: center; | |
| font-size: 36px; | |
| color: #ffffff; | |
| font-family: "Arial", sans-serif; | |
| } | |
| .outfit-header { | |
| font-size: 24px; | |
| color: #444; | |
| font-family: "Arial", sans-serif; | |
| margin-top: 30px; | |
| } | |
| .left-column { | |
| padding-right: 20px; | |
| } | |
| .right-column { | |
| padding-left: 20px; | |
| } | |
| </style>""", unsafe_allow_html=True) | |
| # Title and layout for columns | |
| st.title("🌤️ Weather-Based Outfit Suggestion App") | |
| # Create two columns: one for the user input and one for displaying results | |
| col1, col2 = st.columns([1, 2]) # 1: left column (user input), 2: right column (outfit suggestions) | |
| # User input in the left column (col1) | |
| with col1: | |
| city = st.text_input("Enter your location:", placeholder="E.g. Peshawar") | |
| gender = st.selectbox("Select your gender", ["Male", "Female"]) | |
| personalized_style = st.text_input("Enter your personalized style (optional)", placeholder="E.g. Peshawari") | |
| fabric = st.selectbox("Select your preferred fabric", ["Cotton", "Linen", "Wool", "Polyester", "Silk", "Leather"]) | |
| time_of_day = st.selectbox("Select time of day", ["Morning", "Afternoon", "Evening"]) | |
| activity = st.selectbox("Select your activity", ["Work", "Outdoor", "Casual", "Exercise", "Other"]) | |
| # Result display in the right column (col2) | |
| with col2: | |
| if city: | |
| with st.spinner("Fetching weather data..."): | |
| weather_data = get_weather_data(city) | |
| if weather_data and weather_data["cod"] == 200: | |
| temperature, description = parse_weather_data(weather_data) | |
| # Categorize the weather | |
| weather_category, weather_icon = categorize_weather(description) | |
| # Display current weather info | |
| st.write(f"Current temperature in {city}: {temperature}°C") | |
| st.write(f"Weather: {description} {weather_icon}") | |
| st.write(f"Weather Category: {weather_category} {weather_icon}") | |
| # Get outfit suggestion based on user preferences | |
| outfit_suggestion, weather_icon = get_outfit_suggestion(temperature, description, personalized_style, fabric, weather_category, weather_icon, time_of_day, activity) | |
| if outfit_suggestion: | |
| # Display outfit suggestion | |
| st.markdown(f"### 🌟 Outfit Suggestion 🌟") | |
| st.write(outfit_suggestion) | |
| # Additional section for Health and Comfort Tips | |
| st.markdown(f"### 🌿 Health & Comfort Tips 🌿") | |
| st.write(f"Given the {weather_category} weather, it's important to take care of your health:") | |
| st.write("- **Breathing**: A face mask or scarf covering your nose and mouth can help protect you from smoke inhalation.") | |
| st.write("- **Hydration**: Keep a water bottle with you, as smoke can dehydrate your body.") | |
| st.write("- **Rest**: Try to avoid strenuous activity outdoors and take breaks if you're feeling fatigued.") | |
| st.write("- **Eyes**: If you're feeling irritated, use eye drops to soothe any discomfort caused by smoke.") | |
| # Display weather icon | |
| icon_code = weather_data["weather"][0]["icon"] | |
| icon_url = f"http://openweathermap.org/img/wn/{icon_code}.png" | |
| st.image(icon_url) | |
| else: | |
| st.write("Could not retrieve weather data. Please check the location.") | |
| # import requests | |
| # import streamlit as st | |
| # import groq | |
| # # Access API keys from Streamlit secrets | |
| # openweather_api_key = st.secrets["weather_api_key"] | |
| # groq_api_key = st.secrets["groq_api_key"] | |
| # # Function to get weather data from OpenWeatherMap | |
| # def get_weather_data(city): | |
| # api_key = openweather_api_key # Use the secret API key | |
| # url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric" | |
| # try: | |
| # response = requests.get(url) | |
| # response.raise_for_status() # Raise an HTTPError if the HTTP request returned an unsuccessful status code | |
| # return response.json() | |
| # except requests.exceptions.HTTPError as err: | |
| # st.error(f"HTTP error occurred: {err}") | |
| # except Exception as err: | |
| # st.error(f"An error occurred: {err}") | |
| # return None | |
| # # Function to parse weather data and categorize weather | |
| # def parse_weather_data(weather_data): | |
| # temperature = weather_data["main"]["temp"] | |
| # weather_description = weather_data["weather"][0]["description"] | |
| # return temperature, weather_description | |
| # # Categorizing weather conditions | |
| # def categorize_weather(description): | |
| # description = description.lower() | |
| # if "clear" in description or "sun" in description: | |
| # return "Sunny", "☀️" | |
| # elif "rain" in description or "drizzle" in description or "shower" in description: | |
| # return "Rainy", "🌧️" | |
| # elif "snow" in description or "sleet" in description: | |
| # return "Cold", "❄️" | |
| # elif "cloud" in description: | |
| # return "Cloudy", "☁️" | |
| # elif "wind" in description: | |
| # return "Windy", "💨" | |
| # elif "smoke" in description or "haze" in description: | |
| # return "Smoky", "🌫️" | |
| # else: | |
| # return "Uncategorized", "🔍" | |
| # # Function to get outfit suggestion using Groq's LLaMA model | |
| # def get_outfit_suggestion(temperature, description, style, fabric, weather_category, weather_icon): | |
| # # Initialize Groq's API | |
| # try: | |
| # client = groq.Groq(api_key=groq_api_key) # Use the secret API key | |
| # # Adjust the prompt based on the weather category | |
| # prompt = f"The current weather is {description} with a temperature of {temperature}°C. The weather category is {weather_category}. Suggest an outfit. The user prefers a {style} style and {fabric} fabric." | |
| # # Use Groq's chat completion to get the text response | |
| # response = client.chat.completions.create( | |
| # messages=[{"role": "user", "content": prompt}], | |
| # model="llama3-8b-8192", # Change to a valid Groq model if necessary | |
| # ) | |
| # return response.choices[0].message.content.strip(), weather_icon | |
| # except Exception as e: | |
| # st.error(f"Error using Groq API: {e}") | |
| # return None, None | |
| # # Streamlit UI for user input | |
| # st.set_page_config(page_title="Weather-Based Outfit Suggestion", page_icon="🌤️", layout="wide") | |
| # # Custom styles | |
| # st.markdown("""<style> | |
| # .reportview-container { | |
| # background: linear-gradient(135deg, #ffcc00, #ff7b00); | |
| # } | |
| # .stButton>button { | |
| # background-color: #ff5733; | |
| # color: white; | |
| # font-size: 18px; | |
| # border-radius: 10px; | |
| # padding: 10px; | |
| # } | |
| # .stTextInput input { | |
| # font-size: 16px; | |
| # padding: 10px; | |
| # border-radius: 10px; | |
| # } | |
| # .stSelectbox select { | |
| # font-size: 16px; | |
| # padding: 10px; | |
| # border-radius: 10px; | |
| # } | |
| # .stWrite, .stImage { | |
| # font-family: "Arial", sans-serif; | |
| # font-size: 18px; | |
| # color: #333; | |
| # } | |
| # .weather-header { | |
| # text-align: center; | |
| # font-size: 36px; | |
| # color: #ffffff; | |
| # font-family: "Arial", sans-serif; | |
| # } | |
| # .outfit-header { | |
| # font-size: 24px; | |
| # color: #444; | |
| # font-family: "Arial", sans-serif; | |
| # margin-top: 30px; | |
| # } | |
| # .left-column { | |
| # padding-right: 20px; | |
| # } | |
| # .right-column { | |
| # padding-left: 20px; | |
| # } | |
| # </style>""", unsafe_allow_html=True) | |
| # # Title and layout for columns | |
| # st.title("🌤️ Weather-Based Outfit Suggestion App") | |
| # # Create two columns: one for the user input and one for displaying results | |
| # col1, col2 = st.columns([1, 2]) # 1: left column (user input), 2: right column (outfit suggestions) | |
| # # User input in the left column (col1) | |
| # with col1: | |
| # city = st.text_input("Enter your location:", placeholder="E.g. Peshawar") | |
| # gender = st.selectbox("Select your gender", ["Male", "Female"]) | |
| # personalized_style = st.text_input("Enter your personalized style (optional)", placeholder="E.g. Peshawari") | |
| # fabric = st.selectbox("Select your preferred fabric", ["Cotton", "Linen", "Wool", "Polyester", "Silk", "Leather"]) | |
| # # Result display in the right column (col2) | |
| # with col2: | |
| # if city: | |
| # weather_data = get_weather_data(city) | |
| # if weather_data and weather_data["cod"] == 200: | |
| # temperature, description = parse_weather_data(weather_data) | |
| # # Categorize the weather | |
| # weather_category, weather_icon = categorize_weather(description) | |
| # # Display current weather info | |
| # st.write(f"Current temperature in {city}: {temperature}°C") | |
| # st.write(f"Weather: {description} {weather_icon}") | |
| # st.write(f"Weather Category: {weather_category} {weather_icon}") | |
| # # Get outfit suggestion based on user preferences | |
| # outfit_suggestion, weather_icon = get_outfit_suggestion(temperature, description, personalized_style, fabric, weather_category, weather_icon) | |
| # if outfit_suggestion: | |
| # # Display outfit suggestion | |
| # st.markdown(f"### 🌟 Outfit Suggestion 🌟") | |
| # st.write(outfit_suggestion) | |
| # # Additional section for Health and Comfort Tips | |
| # st.markdown(f"### 🌿 Health & Comfort Tips 🌿") | |
| # st.write(f"Given the {weather_category} weather, it's important to take care of your health:") | |
| # st.write("- **Breathing**: A face mask or scarf covering your nose and mouth can help protect you from smoke inhalation.") | |
| # st.write("- **Hydration**: Keep a water bottle with you, as smoke can dehydrate your body.") | |
| # st.write("- **Rest**: Try to avoid strenuous activity outdoors and take breaks if you're feeling fatigued.") | |
| # st.write("- **Eyes**: If you're feeling irritated, use eye drops to soothe any discomfort caused by smoke.") | |
| # # Display weather icon | |
| # icon_code = weather_data["weather"][0]["icon"] | |
| # icon_url = f"http://openweathermap.org/img/wn/{icon_code}.png" | |
| # st.image(icon_url) | |
| # else: | |
| # st.write("Could not retrieve weather data. Please check the location.") | |
| # -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| # import requests | |
| # import streamlit as st | |
| # import groq | |
| # import os | |
| # # Function to get weather data from OpenWeatherMap | |
| # import os | |
| # # Replace with environment variables | |
| # openweather_api_key = os.getenv("weather_api_key") | |
| # groq_api_key = os.getenv("groq_api_key") | |
| # def get_weather_data(city): | |
| # api_key = openweather_api_key # Replace with your OpenWeatherMap API key | |
| # url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric" | |
| # try: | |
| # response = requests.get(url) | |
| # response.raise_for_status() # Raise an HTTPError if the HTTP request returned an unsuccessful status code | |
| # return response.json() | |
| # except requests.exceptions.HTTPError as err: | |
| # st.error(f"HTTP error occurred: {err}") | |
| # except Exception as err: | |
| # st.error(f"An error occurred: {err}") | |
| # return None | |
| # # Function to parse weather data | |
| # def parse_weather_data(weather_data): | |
| # temperature = weather_data["main"]["temp"] | |
| # weather_description = weather_data["weather"][0]["description"] | |
| # return temperature, weather_description | |
| # # Function to get outfit suggestion using Groq's LLaMA model | |
| # def get_outfit_suggestion(temperature, description, style, fabric): | |
| # # Initialize Groq's API | |
| # try: | |
| # client = groq.Groq(api_key=groq_api_key) # Replace with your Groq API key | |
| # prompt = f"The current weather is {description} with a temperature of {temperature}°C. Suggest an outfit. The user prefers a {style} style and {fabric} fabric." | |
| # # Use Groq's chat completion to get the text response | |
| # response = client.chat.completions.create( | |
| # messages=[{"role": "user", "content": prompt}], | |
| # model="llama3-8b-8192", # Change to a valid Groq model if necessary | |
| # ) | |
| # return response.choices[0].message.content.strip() | |
| # except Exception as e: | |
| # st.error(f"Error using Groq API: {e}") | |
| # return None | |
| # # Streamlit UI for user input | |
| # st.title("Weather-Based Outfit Suggestion App") | |
| # city = st.text_input("Enter your location:") | |
| # # Add style and fabric input options | |
| # style = st.selectbox("Select your preferred style", ["Casual", "Formal", "Sporty", "Business", "Chic"]) | |
| # fabric = st.selectbox("Select your preferred fabric", ["Cotton", "Linen", "Wool", "Polyester", "Silk", "Leather"]) | |
| # if city: | |
| # weather_data = get_weather_data(city) | |
| # if weather_data and weather_data["cod"] == 200: | |
| # temperature, description = parse_weather_data(weather_data) | |
| # # Display current weather info | |
| # st.write(f"Current temperature in {city}: {temperature}°C") | |
| # st.write(f"Weather: {description}") | |
| # # Get outfit suggestion based on user preferences | |
| # outfit_suggestion = get_outfit_suggestion(temperature, description, style, fabric) | |
| # if outfit_suggestion: | |
| # # Display outfit suggestion | |
| # st.write("Outfit Suggestion:") | |
| # st.write(outfit_suggestion) | |
| # # Display weather icon | |
| # icon_code = weather_data["weather"][0]["icon"] | |
| # icon_url = f"http://openweathermap.org/img/wn/{icon_code}.png" | |
| # st.image(icon_url) | |
| # else: | |
| # st.write("Could not retrieve weather data. Please check the location.") | |
| # # Optional: Add CSS for styling | |
| # st.markdown( | |
| # """ | |
| # <style> | |
| # .reportview-container { | |
| # background: #f5f5f5; | |
| # } | |
| # .stButton>button { | |
| # background-color: #ff5733; | |
| # color: white; | |
| # } | |
| # </style> | |
| # """, | |
| # unsafe_allow_html=True | |
| # ) | |