Update app.py

app.py

@@ -1,13 +1,5 @@
-import gradio as gr
-from gradio.themes import GoogleFont
-
-# Define the theme with Montserrat font
-theme = gr.themes.Default(
-    font=[GoogleFont("Montserrat"), "Arial", "sans-serif"],
-    font_mono=[GoogleFont("Montserrat"), "Courier New", "monospace"]
-)
-
 from huggingface_hub import InferenceClient
+import gradio as gr
 import datetime
 
 # Initialize the InferenceClient
@@ -33,17 +25,17 @@ def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=904
         seed=42,
     )
 
-    # Get current time
     now = datetime.datetime.now()
     formatted_time = now.strftime("%H:%M:%S, %B %d, %Y")
     system_prompt = f"System time: {formatted_time}"
 
     formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+
     output = ""
     for response in stream:
         output += response.token.text
-        yield output
+    yield output
 
 additional_inputs = [
     gr.Textbox(label="System Prompt", max_lines=1, interactive=True),
@@ -53,10 +45,10 @@ additional_inputs = [
     gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens")
 ]
 
-with gr.Blocks(theme=theme) as demo:
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.ChatInterface(
         fn=generate,
-        chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel", height="auto", autofocus="True"),
+        chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel", fill_height="True", autofocus="True"),
         additional_inputs=additional_inputs,
         title="ConvoLite",
         submit_btn="➢",
@@ -65,6 +57,4 @@ with gr.Blocks(theme=theme) as demo:
         clear_btn="Clear (New chat)",
         stop_btn="Stop ▢",
         concurrency_limit=20,
-    )
-
-demo.launch(show_api=False)
+    ).launch(show_api=False)