Update app.py

app.py

@@ -70,53 +70,46 @@ theme = gr.themes.Default(primary_hue="blue").set(
 
 
 with gr.Blocks(theme='upsatwal/mlsc_tiet') as demo:
-    # gr.Markdown("## MulitModal Phi2 Model Pretraining and Finetuning from Scratch", justify="center")
-    
-    # with gr.Row() as title_row:
-    #     with gr.Column():
-    #         # Create an empty column on the left for spacing
-    #         pass
-    
-    #     with gr.Column():
-    #         # Add Markdown with centered text
-    #         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).")
-        
-    
-    #     # with gr.Column():
-    #     #     # Create an empty column on the right for spacing
-    #     #     pass
 
-    with gr.Column():
-        # Add an empty line above the text for vertical centering
-        gr.Text("")
+    with gr.Row():
         
-        # Add the title text in the center
-        gr.Text("MulitModal Phi2 Model Pretraining and Finetuning from Scratch", style={"text-align": "center"})
-    
-        # Add an empty line below the text for vertical centering
-        gr.Text("")
+        gr.Markdown("## MulitModal Phi2 Model Pretraining and Finetuning from Scratch")
+        
+        # with gr.Row() as title_row:
+        #     with gr.Column():
+        #         # Create an empty column on the left for spacing
+        #         pass
+        
+        #     with gr.Column():
+        #         # Add Markdown with centered text
+        #         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).")
             
-    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: [GunaKoppula/Llava-Phi2](https://huggingface.co/GunaKoppula/Llava-Phi2)
-        """
-    )
-
-    # with gr.Row(scale=8):
-    #     with gr.Box():
-    #         with gr.Row():
-    #             chatbot = gr.Chatbot(
-    #                 avatar_images=("🧑", "🤖"),
-    #                 height=550,
-    #             )
+        #     # with gr.Column():
+        #     #     # Create an empty column on the right for spacing
+        #     #     pass
+                
+        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: [GunaKoppula/Llava-Phi2](https://huggingface.co/GunaKoppula/Llava-Phi2)
+            """
+        )
+    
+        # with gr.Row(scale=8):
+        #     with gr.Box():
+        #         with gr.Row():
+        #             chatbot = gr.Chatbot(
+        #                 avatar_images=("🧑", "🤖"),
+        #                 height=550,
+        #             )
 
     with gr.Row():
         chatbot = gr.Chatbot(