app.py

import gradio as gr
from huggingface_hub import InferenceClient

# client = InferenceClient(model="http://127.0.0.1:8080")
client = InferenceClient(model="https://ef15-14-32-200-179.ngrok.io")

def inference(message, history):
    partial_message = ""
    for token in client.text_generation(message, max_new_tokens=256, stream=True):
        partial_message += token
        yield partial_message

gr.ChatInterface(
    inference,
    chatbot=gr.Chatbot(height=300),
    textbox=gr.Textbox(placeholder="Chat with me!", container=False, scale=7),
    description="This is the demo for Gradio UI consuming TGI endpoint with LLaMA 7B-Chat model.",
    title="Gradio 🤝 TGI",
    examples=["Are tomatoes vegetables?"],
    retry_btn="Retry",
    undo_btn="Undo",
    clear_btn="Clear",
).queue().launch()