added app

app.py

@@ -0,0 +1,26 @@
+
+import gradio as gr
+from utils.pdf_parser import extract_text_from_pdf
+from utils.rag_chain import RAGChatbot
+
+chatbot = RAGChatbot()
+
+def process_query(pdf, query, history):
+    if pdf is not None:
+        text = extract_text_from_pdf(pdf.name)
+        chatbot.load_document(text)
+    answer = chatbot.query(query)
+    history.append((query, answer))
+    return history, ""
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🧠 RAG‑based PDF Reader with Contextual Memory")
+    pdf_file = gr.File(label="Upload PDF", file_types=[".pdf"])
+    chatbot_ui = gr.Chatbot()
+    user_input = gr.Textbox(label="Your Question")
+    ask_button = gr.Button("Ask")
+
+    ask_button.click(process_query, [pdf_file, user_input, chatbot_ui], [chatbot_ui, user_input])
+
+if __name__ == "__main__":
+    demo.launch()