import gradio as gr from pdf_bot import create_qa_chain_from_pdf qa_chain = None # Global chain reference css = """ #chatbot { height: 350px; overflow: auto; border-radius: 10px; border: 1px solid #e0e0e0; } .textbox { border-radius: 20px !important; padding: 12px 20px !important; } .btn-column { display: flex; flex-direction: column; gap: 10px; } """ def upload_pdf(pdf_file): global qa_chain try: qa_chain = create_qa_chain_from_pdf(pdf_file.name) return gr.update(visible=True), f"✅ PDF `{pdf_file.name}` loaded successfully!" except Exception as e: return gr.update(visible=False), f"❌ Error: {e}" def respond(message, chat_history): global qa_chain if qa_chain is None: return message, chat_history + [[message, "⚠️ Please upload a PDF first."]] try: result = qa_chain({"query": message}) answer = result["result"] chat_history.append((message, answer)) return "", chat_history except Exception as e: return "", chat_history + [[message, f"❌ Error: {e}"]] def create_interface(): with gr.Blocks(css=css, theme="soft") as demo: gr.Markdown("""
Upload a university prospectus or document and ask anything!
""") pdf_input = gr.File(label="Upload PDF", type="file", file_types=[".pdf"]) status = gr.Markdown() chatbot = gr.Chatbot(elem_id="chatbot", visible=False) examples = [ "What are the admission requirements?", "How can I contact the administration?", "What programs are offered?" ] with gr.Row(): message = gr.Textbox( label="Type your question here", placeholder="Ask about the uploaded PDF...", elem_classes="textbox", scale=4 ) with gr.Column(scale=1, elem_classes="btn-column"): submit_button = gr.Button("↩️ Enter") reset_button = gr.Button("🗑️ Reset Chat") pdf_input.change(upload_pdf, inputs=[pdf_input], outputs=[chatbot, status]) message.submit(respond, [message, chatbot], [message, chatbot]) submit_button.click(respond, [message, chatbot], [message, chatbot]) reset_button.click(lambda: [], None, chatbot) gr.Examples(examples, inputs=message) return demo if __name__ == "__main__": demo = create_interface() demo.launch()