app.py

import gradio as gr
from gradio_client import Client

# Initializing Gradio Python Clients for the two Llama chatbots
client_llama3_1 = Client("ysharma/Chat_with_Meta_llama3_1_8b_dupe", hf_token=HF_TOKEN)
client_llama3 = Client("ysharma/Chat_with_Meta_llama3_8b_dupe", hf_token=HF_TOKEN)


css = """
h1 {
  margin: 0;
  flex-grow: 1;
  font-size: 24px;
  min-width: 200px;
}
"""

TITLE = """<h1 style="text-align: center;">Meta Llama3.1 8B V/s Meta Llama3 8B</h1>"""

PLACEHOLDER_LLAMA3 = """
<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
   <img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/8e75e61cc9bab22b7ce3dec85ab0e6db1da5d107/Meta_lockup_positive%20primary_RGB.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Meta Llama3</h1>
   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything...</p>
</div>
"""

PLACEHOLDER_LLAMA3_1 = """
<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
   <img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/8e75e61cc9bab22b7ce3dec85ab0e6db1da5d107/Meta_lockup_positive%20primary_RGB.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Meta Llama3.1</h1>
   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything...</p>
</div>
"""


# Inference functions for Chatbots 
def user_llama3(user_message, history_llama3):
    return "", history_llama3 + [[user_message, None]]

def user_llama3_1(user_message, history_llama3_1):
    return "", history_llama3_1 + [[user_message, None]]

def chat_llama3(history_llama3, temp, max_tokens):
    history_llama3[-1][1] = ""
    for result in client_llama3.submit(history_llama3[-1][0], temp, max_tokens):
        if "assistant" in result:
            result_list_temp = result.split('assistant')
            history_llama3[-1][1] = result_list_temp[-1] #result
        yield history_llama3

def chat_llama3_1(history_llama3_1, temp, max_tokens):
    history_llama3_1[-1][1] = ""
    for result in client_llama3_1.submit(history_llama3_1[-1][0], temp, max_tokens):
        history_llama3_1[-1][1] = result
        yield history_llama3_1


# Gradio block
chatbot_llama3 = gr.Chatbot(height=450,  label='Llama3 8b Chat',) #placeholder=PLACEHOLDER,
chatbot_llama3_1 = gr.Chatbot(height=450,  label='Llama3.1 8b Chat',) #placeholder=PLACEHOLDER,
textbox = gr.Textbox(placeholder="Type your text and press Enter", scale=7, label="User Mesaages")
additional_inputs_accordion = gr.Accordion(label="⚙️ Parameters", open=False, render=False)
temperature = gr.Slider(minimum=0,
          maximum=1,
          step=0.1,
          value=0.95,
          label="Temperature",
          render=False)
max_tokens = gr.Slider(minimum=128,
          maximum=4096,
          step=1,
          value=512,
          label="Max new tokens",
          render=False )

examples=[
    ["There's a llama in my garden 😱 What should I do?"],
    ["What is the best way to open a can of worms?"],
    ["The odd numbers in this group add up to an even number: 15, 32, 5, 13, 82, 7, 1. "],
    ['How to setup a human base on Mars? Give short answer.'],
    ['Explain theory of relativity to me like I’m 8 years old.'],
    ['What is 9,000 * 9,000?'],
    ['Write a pun-filled happy birthday message to my friend Alex.'],
    ['Justify why a penguin might make a good king of the jungle.']
    ]


with gr.Blocks(fill_height=True,css=css ) as demo:
  gr.HTML(TITLE)
  with gr.Row():
    chatbot_llama3_1.render()
    chatbot_llama3.render()
  with gr.Row():
    textbox.render()
    clear = gr.Button("Clear")

  additional_inputs_accordion.render()
  with additional_inputs_accordion:
    temperature.render()
    max_tokens.render()

  examples = gr.Examples(examples, textbox)

  textbox.submit(user_llama3, [textbox, chatbot_llama3], [textbox, chatbot_llama3], queue=False).then(
    chat_llama3, [chatbot_llama3, temperature, max_tokens], chatbot_llama3)
  textbox.submit(user_llama3_1, [textbox, chatbot_llama3_1], [textbox, chatbot_llama3_1], queue=False).then(
    chat_llama3_1, [chatbot_llama3_1, temperature, max_tokens], chatbot_llama3_1)
  
  clear.click(lambda: None, None, chatbot_llama3, queue=False)
  clear.click(lambda: None, None, chatbot_llama3_1, queue=False)

if __name__ == "__main__":
    demo.launch(debug=True, )