Update app.py

app.py

@@ -240,10 +240,10 @@ def answer_question(images, question):
 
 
 with gr.Blocks() as app:
-    gr.Markdown("# MiniCPMV-RAG-PDFQA: Two Vision Language Models Enable End-to-End RAG")
+    gr.Markdown("# VisRAG Pipeline: Vision-based Retrieval-augmented Generation on Multi-modality Documents")
     
     gr.Markdown("""
-- A Vision Language Model Dense Retriever ([minicpm-visual-embedding-v0](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0)) **directly reads** your PDFs **without need of OCR**, produce **multimodal dense representations** and build your personal library. 
+- A Vision Language Model Dense Retriever ([VisRAG-Ret](https://huggingface.co/openbmb/VisRAG-Ret)) **directly reads** your PDFs **without need of OCR**, produce **multimodal dense representations** and build your personal library. 
 
 - **Ask a question**, it retrieve most relavant pages, then [MiniCPM-V-2.6](https://huggingface.co/spaces/openbmb/MiniCPM-V-2_6) will answer your question based on pages recalled, with strong multi-image understanding capability.