Update app.py

app.py

@@ -1,3 +1,4 @@
+# app.py
 import gradio as gr
 from search import search_google
 from scraper import scrape_url
@@ -7,25 +8,42 @@ from llm import generate_answer
 vs = VectorStore()
 
 def ask_agent(question):
-    # Step 1: search
     urls = search_google(question, num_results=3)
-    # Step 2: scrape
     texts = [scrape_url(url) for url in urls]
-    # Step 3: embed + store
     vs.add_texts(texts)
-    # Step 4: retrieve
     relevant = vs.retrieve(question, top_k=2)
     context = "\n\n".join(relevant)
-    # Step 5: generate answer
     answer = generate_answer(context, question)
-    return f"### 🧠 Answer:\n{answer}\n\n\n### 🔗 Sources:\n" + "\n".join(urls)
-
-with gr.Blocks() as demo:
-    gr.Markdown("# 🔍 AI Web RAG Agent\nAsk me anything; I'll search, scrape and answer!")
-    with gr.Row():
-        inp = gr.Textbox(label="Your question")
-    out = gr.Markdown()
-    btn = gr.Button("Ask")
-    btn.click(fn=ask_agent, inputs=inp, outputs=out)
+    return f"## 🧠 Answer\n\n{answer}\n\n---\n### 🔗 Sources\n" + "\n".join(f"- [{url}]({url})" for url in urls)
+
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet", secondary_hue="blue")) as demo:
+    gr.Markdown("""
+    # 🔍 **AI Web RAG Agent**  
+    _Ask anything, I'll search, scrape & answer in real time!_
+    """)
+
+    with gr.Column(scale=1):
+        question = gr.Textbox(
+            label="💡 Your question",
+            placeholder="e.g., Find cheapest flights Kanpur to Mumbai on 30 July",
+            show_label=True,
+            scale=1
+        )
+
+        btn = gr.Button("🚀 Ask")
+
+        output = gr.Markdown("🤖 *Your answer will appear here...*")
+
+        # Examples help new users
+        gr.Examples(
+            examples=[
+                "Best laptop under 50,000 INR",
+                "Latest news about ISRO moon mission",
+                "What are some tourist places near Mumbai"
+            ],
+            inputs=[question]
+        )
+
+    btn.click(fn=ask_agent, inputs=question, outputs=output)
 
 demo.launch()