Update app.py

app.py

@@ -3,18 +3,23 @@ import requests
 import streamlit as st
 import openai
 
-# Load API keys from Hugging Face Secrets
+# -----------------------------
+# Load secrets
+# -----------------------------
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 SERPAPI_API_KEY = os.environ.get("SERPAPI_API_KEY")
 
 if not OPENAI_API_KEY or not SERPAPI_API_KEY:
-    st.error("❌ Missing API keys! Add OPENAI_API_KEY and SERPAPI_API_KEY in Secrets.")
+    st.error(
+        "❌ Missing API keys! Add OPENAI_API_KEY and SERPAPI_API_KEY in Settings → Secrets."
+    )
     st.stop()
 
-# Set OpenAI API key
 openai.api_key = OPENAI_API_KEY
 
-# Fetch news from SerpAPI via REST
+# -----------------------------
+# Fetch AI news using SerpAPI REST
+# -----------------------------
 def fetch_ai_news(query="latest AI news"):
     url = "https://serpapi.com/search.json"
     params = {
@@ -23,29 +28,31 @@ def fetch_ai_news(query="latest AI news"):
         "api_key": SERPAPI_API_KEY,
         "num": 5
     }
-    resp = requests.get(url, params=params).json()
+    response = requests.get(url, params=params).json()
     news_list = [
-        {
-            "title": r.get("title",""),
-            "snippet": r.get("snippet",""),
-            "link": r.get("link","")
-        }
-        for r in resp.get("organic_results", [])
+        {"title": r.get("title", ""), "snippet": r.get("snippet", ""), "link": r.get("link", "")}
+        for r in response.get("organic_results", [])
     ]
     return news_list
 
+# -----------------------------
 # Summarize news using OpenAI 1.x API
+# -----------------------------
 def summarize_news(news_items):
     combined_text = "\n\n".join([f"{n['title']} - {n['snippet']}" for n in news_items])
     prompt = f"Summarize the following latest AI news into 5 concise bullet points:\n\n{combined_text}"
 
-    response = openai.ChatCompletion.create(
+    response = openai.chat.completions.create(
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": prompt}],
     )
     return response.choices[0].message.content
 
+# -----------------------------
 # Streamlit UI
+# -----------------------------
+st.set_page_config(page_title="AI News Summarizer", page_icon="🧠", layout="centered")
+
 st.title("🧠 AI News Summarizer Agent")
 query = st.text_input("Enter topic", "latest AI news")
 
@@ -59,6 +66,7 @@ if st.button("Fetch & Summarize"):
             st.markdown(f"**{n['title']}**")
             st.markdown(n['snippet'])
             st.markdown(f"[Read more]({n['link']})\n---")
+
         st.subheader("🧩 AI Summary")
         summary = summarize_news(news)
         st.success(summary)