Update app.py

app.py

@@ -1,40 +1,29 @@
 import os
-import logging
-import pandas as pd
 import streamlit as st
+import pandas as pd
 import requests
-from groq import groq
-
-# Set up logging
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
+from groq import Groq
 
-# Load environment variables from .env file
-load_dotenv()
-
-# Get the Groq API key from environment variables
+# Fetch the GROQ API key from the environment variable
 groq_api_key = os.getenv("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")
+
+# Check if the API key is available, if not show an error and stop
 if not groq_api_key:
-    raise ValueError("GROQ_API_KEY is not set. Please provide a valid API key.")
+    st.error("GROQ_API_KEY is not set. Please provide a valid API key.")
+    st.stop()
 
-# Initialize Groq client
+# Initialize the GROQ client with the fetched API key
 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
+    st.error(f"Error initializing GROQ client: {e}")
+    st.stop()
 
 # Function to load and preprocess data
 @st.cache_data
 def load_data(file):
-    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
+    df = pd.read_csv(file)
+    return df
 
 # Function to provide detailed health advice based on user data
 def provide_observed_advice(data):
@@ -77,11 +66,10 @@ 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 []
 
@@ -118,8 +106,6 @@ 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())