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import gradio as gr | |
from huggingface_hub import InferenceClient | |
from googletrans import Translator | |
client = InferenceClient(model="https://pl0u0mrj2ag4o0-80.proxy.runpod.net") | |
translator = Translator() | |
def inference(message, history): | |
# Translate to English | |
message = translator.translate(message, dest="en").text | |
partial_message = "" | |
for token in client.text_generation(message, max_new_tokens=1024, stream=True): | |
partial_message += token | |
yield partial_message | |
gr.ChatInterface( | |
inference, | |
chatbot=gr.Chatbot(height=300), | |
textbox=gr.Textbox(placeholder="Please ask your question here...", container=False, scale=7), | |
description="This is a chatbot trained on the Llama2-7b model.", | |
title="SequoiaDB AI", | |
examples=["What is SequioaDB?", "What is SequioaDB's license?", "What is SequioaDB's official website?"], | |
retry_btn="Retry", | |
undo_btn="Undo", | |
clear_btn="Clear", | |
submit_btn="Submit", | |
).queue().launch() |