app.py

import gradio as gr
from gradio_client import Client

title = "Llama2 70B Chatbot"
description = """
This Space demonstrates model [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) by Meta, a Llama 2 model with 70B parameters fine-tuned for chat instructions. 
| Model | Llama2 | Llama2-hf | Llama2-chat | Llama2-chat-hf |
|---|---|---|---|---|
| 7B | [Link](https://huggingface.co/meta-llama/Llama-2-7b) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) |
| 13B | [Link](https://huggingface.co/meta-llama/Llama-2-13b) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) |
| 70B | [Link](https://huggingface.co/meta-llama/Llama-2-70b) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) |
"""
css = """.toast-wrap { display: none !important } """
examples=[
    ['Hello there! How are you doing?'],
    ['Can you explain to me briefly what is Python programming language?'],
    ['Explain the plot of Cinderella in a sentence.'],
    ['How many hours does it take a man to eat a Helicopter?'],
    ["Write a 100-word article on 'Benefits of Open-Source in AI research'"],
]

# Stream text
def predict(message, chatbot, system_prompt="", temperature=0.9, max_new_tokens=4096):
    
    client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/")
    return client.predict(
            message,  # str in 'Message' Textbox component
            system_prompt,  # str in 'Optional system prompt' Textbox component
            temperature,  # int | float (numeric value between 0.0 and 1.0)
            max_new_tokens,  # int | float (numeric value between 0 and 4096)
            0.3,  # int | float (numeric value between 0.0 and 1)
            1,  # int | float (numeric value between 1.0 and 2.0)
            api_name="/chat"
    )

# Gradio Demo 
with gr.Blocks(theme="ParityError/Interstellar") as demo:
    gr.DuplicateButton()
    gr.ChatInterface(predict, title=title, description=description, css=css, examples=examples) 
        
demo.queue().launch(debug=True)