Update app.py

app.py

@@ -1,177 +1,102 @@
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+
+
+
 import requests
 import streamlit as st
-import json
+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 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:
+    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()
-    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 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.")
+    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
 
-# Main app UI
+# Streamlit UI for user input
 st.title("Weather-Based Outfit Suggestion App")
 
-# Try auto-detecting location if city is empty
-city = st.text_input("Enter your location:", value=get_location_by_ip() or "")
+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:
-        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
+)