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File size: 1,959 Bytes
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import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message.choices[0].delta.content
response += token
yield response
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
],
css="""
.gradio-container {background-color: #ffeef8; font-family: 'Comic Sans MS', sans-serif;}
.gr-button {background-color: #ff88cc; color: white; border-radius: 12px; padding: 10px;}
.gr-input {border: 2px solid #ff66b2; border-radius: 10px; background-color: #fff1f5; font-size: 18px;}
.gr-output {border: 2px solid #ff66b2; border-radius: 10px; padding: 15px; background-color: #ffffff; font-size: 18px; font-weight: bold;}
.gr-button:hover {background-color: #ff66b2; transition: background-color 0.3s;}
.gr-textbox {background-color: #fff1f5;}
.gradio-interface {padding: 20px; margin: 20px; box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.1);}
.gradio-container input, .gradio-container button {font-family: 'Comic Sans MS', sans-serif;}
""",
title="Cuddly Chatbot 🐾",
description="A sweet and friendly assistant for all your questions! 💖",
)
if __name__ == "__main__":
demo.launch()
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