| import requests | |
| import streamlit as st | |
| import json | |
| # 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 user's IP-based location | |
| def get_location_by_ip(): | |
| try: | |
| response = requests.get("https://ipinfo.io") | |
| location_data = response.json() | |
| return location_data['city'] | |
| except Exception as e: | |
| st.warning("Could not auto-detect location.") | |
| return None | |
| # Function to get weather data from OpenWeatherMap | |
| def get_weather_data(city): | |
| weather_url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={openweather_api_key}&units=metric" | |
| response = requests.get(weather_url) | |
| if response.status_code == 200: | |
| return response.json() | |
| else: | |
| st.error("Could not retrieve weather data. Please check your API key and city name.") | |
| return None | |
| # Function to get outfit suggestion from Groq text generation model | |
| def get_outfit_suggestion(weather_condition, temperature, city, gender): | |
| url = "https://api.groq.com/v1/completions" # Groq's text generation endpoint | |
| headers = { | |
| "Authorization": f"Bearer {groq_api_key}", | |
| "Content-Type": "application/json" | |
| } | |
| # Construct a prompt based on the weather and user details | |
| prompt = ( | |
| f"Suggest an outfit for a {gender} in {city} where the weather is {weather_condition} " | |
| f"with a temperature of {temperature}°C. Make it practical and stylish." | |
| ) | |
| payload = { | |
| "model": "llama3-8b-8192", # Use an appropriate Groq model | |
| "messages": [{"role": "user", "content": prompt}] | |
| } | |
| response = requests.post(url, headers=headers, data=json.dumps(payload)) | |
| if response.status_code == 200: | |
| return response.json().get("choices")[0]["message"]["content"] | |
| else: | |
| st.error("Could not retrieve outfit suggestions. Please check your Groq API.") | |
| return None | |
| # Enhanced UI with background color and icons | |
| st.markdown( | |
| """ | |
| <style> | |
| body { | |
| background-color: #f0f2f6; | |
| color: #333; | |
| font-family: Arial, sans-serif; | |
| } | |
| .main-header { | |
| font-size: 2.5em; | |
| color: #6C63FF; | |
| text-align: center; | |
| } | |
| .weather-box { | |
| background-color: #ffffff; | |
| padding: 20px; | |
| border-radius: 10px; | |
| box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); | |
| } | |
| </style> | |
| """, unsafe_allow_html=True | |
| ) | |
| # Main app UI | |
| st.markdown("<h1 class='main-header'>Weather-Based Outfit Suggestion App</h1>", unsafe_allow_html=True) | |
| # Try auto-detecting location if city is empty | |
| city = st.text_input("Enter your location:", value=get_location_by_ip() or "") | |
| gender = st.radio("Select Gender", options=["Male", "Female"], index=0) | |
| if city: | |
| weather_data = get_weather_data(city) | |
| if weather_data: | |
| # Extract weather information | |
| weather_condition = weather_data["weather"][0]["main"] | |
| temperature = weather_data["main"]["temp"] | |
| feels_like = weather_data["main"]["feels_like"] | |
| humidity = weather_data["main"]["humidity"] | |
| wind_speed = weather_data["wind"]["speed"] | |
| # Display weather information with icons and enhancements | |
| st.markdown("<div class='weather-box'>", unsafe_allow_html=True) | |
| st.subheader(f"🌍 Weather in {city}") | |
| st.write(f"🌤️ Condition: {weather_condition}") | |
| st.write(f"🌡️ Temperature: {temperature}°C (Feels like: {feels_like}°C)") | |
| st.write(f"💧 Humidity: {humidity}%") | |
| st.write(f"💨 Wind Speed: {wind_speed} m/s") | |
| st.markdown("</div>", unsafe_allow_html=True) | |
| # Get outfit suggestion based on weather and gender | |
| outfit_suggestion = get_outfit_suggestion(weather_condition, temperature, city, gender) | |
| if outfit_suggestion: | |
| st.subheader("👗 Outfit Suggestion") | |
| st.write(outfit_suggestion) | |
| else: | |
| st.warning("No outfit suggestion available for this weather condition.") | |
| else: | |
| st.info("Please enter your location to get weather and outfit suggestions.") | |
| # 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 | |
| # 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) # Use the secret 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 | |
| # ) | |
| # -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| # 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 | |
| # ) | |