Update app.py

app.py

@@ -201,6 +201,7 @@ import gradio as gr
 markdown_description = """
 - Jñāna is a Multimodal LLM app that can accept input as image, text or audio
 - Based on the input you can query the app for more details
+- Trained based on Llava 1.0 and Llava 1.5 papers
 - Uses **microsoft/phi-2 qlora** optimized model finetuned on **instruct150k** dataset
 - Uses **whisperX** model for audio
 """
@@ -213,6 +214,6 @@ demo = gr.Interface(fn=gradio_get_answers_fn,
                     outputs=gr.Textbox(label="Response"),
                     title="Jñāna - Phi2 Multiomodal Conversation Agent",
                     description=markdown_description,
-                    article=" **Credits** : https://theschoolof.ai/ || https://github.com/mshumer/gpt-llm-trainer || https://github.com/huggingface/peft/tree/main/examples/multilayer_perceptron ")
+                    article=" **Credits** : https://theschoolof.ai/ || https://arxiv.org/pdf/2304.08485.pdf || https://github.com/mshumer/gpt-llm-trainer || https://github.com/huggingface/peft/tree/main/examples/multilayer_perceptron ")
 
 demo.queue().launch(share=True)