Update app.py

app.py

@@ -1,102 +1,181 @@
 import requests
 import streamlit as st
-import groq
+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):
-    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
+    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()
-    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}")
+    else:
+        st.error("Could not retrieve weather data. Please check your API key and city name.")
         return None
 
-# Streamlit UI for user input
-st.title("Weather-Based Outfit Suggestion App")
+# Function to get outfit suggestion from Groq API
+def get_outfit_suggestion(weather_condition):
+    url = "https://api.groq.com/v1/suggest-outfit"  # Replace with the actual Groq API endpoint
+    headers = {
+        "Authorization": f"Bearer {groq_api_key}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "weather_condition": weather_condition
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(payload))
+    if response.status_code == 200:
+        return response.json().get("outfit")
+    else:
+        st.error("Could not retrieve outfit suggestions. Please check your Groq API.")
+        return None
 
-city = st.text_input("Enter your location:")
+# Main app UI
+st.title("Weather-Based Outfit Suggestion App")
 
-# 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"])
+# Try auto-detecting location if city is empty
+city = st.text_input("Enter your location:", value=get_location_by_ip() or "")
 
 if city:
     weather_data = get_weather_data(city)
+    if weather_data:
+        weather_condition = weather_data["weather"][0]["main"]
+        temperature = weather_data["main"]["temp"]
+
+        st.subheader(f"Weather in {city}")
+        st.write(f"Condition: {weather_condition}")
+        st.write(f"Temperature: {temperature}°C")
+
+        # Get outfit suggestion based on weather
+        outfit_suggestion = get_outfit_suggestion(weather_condition)
+        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)
+#     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}")
+#         # 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)
+#         # 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)
+#         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.")
+#         # 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
-)
-
+# # Optional: Add CSS for styling
+# st.markdown(
+#     """
+#     <style>
+#     .reportview-container {
+#         background: #f5f5f5;
+#     }
+#     .stButton>button {
+#         background-color: #ff5733;
+#         color: white;
+#     }
+#     </style>
+#     """,
+#     unsafe_allow_html=True
+# )
 
 
 
+# --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------