Update app.py

app.py

@@ -63,20 +63,7 @@ def run(history, text, image, audio_upload, audio_mic):
 
 with gr.Blocks() as demo:
     gr.Markdown("## MulitModal Phi2 Model Pretraining and Finetuning from Scratch")
-    gr.Markdown(
-        """This is a multimodal implementation of [Phi2](https://huggingface.co/microsoft/phi-2) model.
-        
-        Please find the source code and training details [here](https://github.com/RaviNaik/ERA-CAPSTONE/MultiModalPhi2).
-        
-        ### Details:
-        1. LLM Backbone: [Phi2](https://huggingface.co/microsoft/phi-2)
-        2. Vision Tower: [clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336)
-        3. Audio Model: [Whisper Tiny](https://huggingface.co/openai/whisper-tiny) 
-        4. Pretraining Dataset: [LAION-CC-SBU dataset with BLIP captions(200k samples)](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain)
-        5. Finetuning Dataset: [Instruct 150k dataset based on COCO](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K)
-        6. Finetuned Model: [RaviNaik/Llava-Phi2](https://huggingface.co/RaviNaik/Llava-Phi2)
-        """
-    )
+    
     with gr.Row():
         with gr.Column(scale=4):
             # Creating a column with a scale of 6