Update app.py

app.py

@@ -2,8 +2,6 @@ import gradio as gr
 from PIL import Image
 from inference.main import MultiModalPhi2
 
-messages = []
-
 multimodal_phi2 = MultiModalPhi2(
     modelname_or_path="Navyabhat/Llava-Phi2",
     temperature=0.2,
@@ -11,6 +9,12 @@ multimodal_phi2 = MultiModalPhi2(
     device="cpu",
 )
 
+theme = gr.themes.Default(primary_hue="blue", font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"]).set(
+    loader_color="#FF0000",
+    button_primary_background_fill="*primary_200",
+    button_primary_background_fill_hover="*primary_300",
+)
+
 def add_content(chatbot, text, image, audio_upload, audio_mic) -> gr.Chatbot:
     textflag, imageflag, audioflag = False, False, False
     if text not in ["", None]:
@@ -58,18 +62,18 @@ def run(history, text, image, audio_upload, audio_mic):
     history.append((None, outputs.title()))
     return history, None, None, None, None
     
-with gr.Blocks() as demo:
+with gr.Blocks(theme=theme) as demo:
     gr.Markdown("## 🤖 Multi-modal LLM")
     gr.Markdown("This is a multi-modal LLM that takes text, image and audio as inputs.")
 
     with gr.Row():
         with gr.Column(scale=4):
-            # Creating a column with a scale of 6
+            
             with gr.Box():
                 with gr.Row():
                     # Adding image
                     image = gr.Image(type="filepath", value=None)
-                # Creating a column with a scale of 2
+                
                 with gr.Row():
                     # Add audio
                     audio_upload = gr.Audio(source="upload", type="filepath")
@@ -86,7 +90,7 @@ with gr.Blocks() as demo:
                     )
 
     with gr.Row():
-        # Adding a Textbox with a placeholder "write prompt"
+        
         prompt = gr.Textbox(
             placeholder="Ask anything", lines=2, label="Query", value=None, scale=4
         )