Update app.py

app.py

@@ -1,27 +1,41 @@
 import os
-import streamlit as st
+import logging
 import pandas as pd
+import streamlit as st
 import requests
+from dotenv import load_dotenv
 from groq import Groq
 
-import os
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
-# Fetch the API key
-groq_api_key = "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"
+# Load environment variables from .env file
+load_dotenv()
 
-# Check if the API key is available
+# Get the Groq API key from environment variables
+groq_api_key = os.getenv("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")
 if not groq_api_key:
     raise ValueError("GROQ_API_KEY is not set. Please provide a valid API key.")
 
-
-# Initialize the GROQ client with the fetched API key
-groq_client = Groq(api_key=groq_api_key)
+# Initialize Groq client
+try:
+    groq_client = Groq(api_key=groq_api_key)
+    logger.info("Groq client initialized successfully.")
+except Exception as e:
+    logger.error(f"Error initializing Groq client: {e}")
+    raise  # Exit the program if client initialization fails
 
 # Function to load and preprocess data
 @st.cache_data
 def load_data(file):
-    df = pd.read_csv(file)
-    return df
+    try:
+        df = pd.read_csv(file)
+        return df
+    except Exception as e:
+        logger.error(f"Error loading CSV file: {e}")
+        st.error("There was an issue loading the file. Please try again.")
+        return pd.DataFrame()  # Return an empty DataFrame in case of error
 
 # Function to provide detailed health advice based on user data
 def provide_observed_advice(data):
@@ -64,10 +78,11 @@ def get_health_articles(query):
             articles = []
         return articles
     except requests.exceptions.HTTPError as http_err:
+        logger.error(f"HTTP error occurred: {http_err}")
         st.error(f"HTTP error occurred: {http_err}. Please check your API key and the endpoint.")
-        st.error(f"Response content: {response.text}")
         return []
     except requests.exceptions.RequestException as err:
+        logger.error(f"Error fetching articles: {err}")
         st.error(f"Error fetching articles: {err}. Please check your internet connection.")
         return []
 
@@ -104,6 +119,8 @@ def main():
     uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"])
     if uploaded_file:
         df = load_data(uploaded_file)
+        if df.empty:
+            return
         st.write("### Dataset Preview:")
         st.dataframe(df.head())