Update app.py

app.py

@@ -33,6 +33,7 @@ def load_any_file(file_path):
     return loader.load()
 
 
+
 def process_inputs(url, file):
     data = []
     if url:
@@ -44,7 +45,7 @@ def process_inputs(url, file):
         data.extend(load_any_file(upload_file_path))
 
     if not data:
-        return "Please provide a URL or a file to process.", ""
+        return "Please provide a URL or a file to process.", gr.update(visible=False), gr.update(visible=False)
 
     splitter = RecursiveCharacterTextSplitter(
         separators=['\n\n', '\n', '.', ','],
@@ -55,7 +56,7 @@ def process_inputs(url, file):
     vectorstore = FAISS.from_documents(docs, embeddings)
     vectorstore.save_local(VECTOR_STORE_PATH)
 
-    return "✅ Documents processed and saved. You may now ask a question.", ""
+    return "✅ Documents processed successfully! Please switch to the 'Ask a Question' tab.", gr.update(visible=True), gr.update(visible=True)
 
 
 def answer_question(query):
@@ -77,17 +78,22 @@ with gr.Blocks(title="InfoSEARCH") as demo:
 
     with gr.Tab("📄 Upload or Link"):
         with gr.Row():
-            url_input = gr.Textbox(label="News Article URL", placeholder="Paste a news article URL")
+            url_input = gr.Textbox(label="Upload URL", placeholder="Paste a news article URL")
             file_input = gr.File(label="Upload Document", file_types=[".pdf", ".txt", ".docx", ".html", ".htm"])
         process_btn = gr.Button("📥 Process Input")
         process_status = gr.Textbox(label="Status", interactive=False)
+        jump_notice = gr.Textbox(visible=False, interactive=False)
 
     with gr.Tab("❓ Ask a Question"):
         query_input = gr.Textbox(label="Ask a question", placeholder="Type your question here and hit Enter")
         answer_output = gr.Textbox(label="🧾 Answer", lines=4)
         sources_output = gr.Textbox(label="🔗 Sources", lines=3)
 
-    process_btn.click(fn=process_inputs, inputs=[url_input, file_input], outputs=[process_status, answer_output])
+    process_btn.click(
+        fn=process_inputs,
+        inputs=[url_input, file_input],
+        outputs=[process_status, jump_notice, query_input]
+    )
     query_input.submit(fn=answer_question, inputs=query_input, outputs=[answer_output, sources_output])