Update app.py

app.py

@@ -1,43 +1,55 @@
 import streamlit as st
 from tavily import TavilyClient
 
-# Step 1: Initialize Tavily Client with API key from Streamlit secrets
-TAVILY_API_KEY = st.secrets["TAVILY_API_KEY"]  # Retrieve API key securely from secrets
-tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
+# Step 1: Retrieve Tavily API Key from Hugging Face Secrets
+TAVILY_API_KEY = st.secrets["TAVILY_API_KEY"]  # Access the API key securely from Hugging Face Secrets
+if TAVILY_API_KEY is None:
+    st.error("API key is missing. Please add the TAVILY_API_KEY in Hugging Face Secrets.")
+else:
+    # Initialize Tavily Client with the API key
+    tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
 
-# Step 2: Fetch Suggestions Using Tavily
-def fetch_tavily_suggestions(location, need):
-    """
-    Use Tavily API to fetch real-time suggestions based on location and need.
-    """
-    query = f"Provide {need.lower()} recommendations for rural areas near {location}. Focus on affordability and accessibility."
-    try:
-        # Execute the query using TavilyClient
-        response = tavily_client.search(query)
-        return response.get("text", "No recommendations available.")  # Extract the 'text' response
-    except Exception as e:
-        return f"Error: {str(e)}"
+    # Step 2: Fetch Suggestions Using Tavily
+    def fetch_tavily_suggestions(location, need):
+        """
+        Use Tavily API to fetch real-time suggestions based on location and need.
+        """
+        query = f"Provide affordable internet providers or satellite internet services for rural areas near {location}, especially for low-income families."
+        
+        try:
+            # Execute the query using TavilyClient
+            response = tavily_client.search(query)
+            st.write(f"Raw API Response: {response}")  # Debug: print the raw response for inspection
 
-# Step 3: Build Streamlit UI
-st.title("Rural Connectivity Advisor")
-st.markdown("""
-Welcome to the **Rural Connectivity Advisor**!  
-This app helps rural communities find:
-- Affordable internet solutions.
-- Signal boosting tips.
-- Offline tools for education, healthcare, and business.
-""")
+            # Check if the 'text' key exists in the response and return it
+            if "text" in response:
+                return response["text"]
+            else:
+                return "No suggestions available in the response."
 
-# Sidebar User Inputs
-st.sidebar.header("Input Your Details")
-location = st.sidebar.text_input("Enter Your Location (e.g., City, District)")
-needs = st.sidebar.selectbox("What do you need?", ["Internet Provider", "Signal Boosting Tips", "Offline Tools"])
+        except Exception as e:
+            return f"Error: {str(e)}"
 
-# Fetch and Display Suggestions
-if st.sidebar.button("Get Suggestions"):
-    if location:
-        st.subheader(f"Suggestions for {needs} in {location}")
-        suggestions = fetch_tavily_suggestions(location, needs)
-        st.write(suggestions)
-    else:
-        st.warning("Please enter your location to get recommendations.")
+    # Step 3: Build Streamlit UI
+    st.title("Rural Connectivity Advisor")
+    st.markdown("""
+    Welcome to the **Rural Connectivity Advisor**!  
+    This app helps rural communities find:
+    - Affordable internet solutions.
+    - Signal boosting tips.
+    - Offline tools for education, healthcare, and business.
+    """)
+
+    # Sidebar User Inputs
+    st.sidebar.header("Input Your Details")
+    location = st.sidebar.text_input("Enter Your Location (e.g., City, District)")
+    needs = st.sidebar.selectbox("What do you need?", ["Internet Provider", "Signal Boosting Tips", "Offline Tools"])
+
+    # Fetch and Display Suggestions
+    if st.sidebar.button("Get Suggestions"):
+        if location:
+            st.subheader(f"Suggestions for {needs} in {location}")
+            suggestions = fetch_tavily_suggestions(location, needs)
+            st.write(suggestions)
+        else:
+            st.warning("Please enter your location to get recommendations.")