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import gradio as gr
from huggingface_hub import InferenceClient
# Initialize the Inference Client
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
system_message = system_message or "You are a friendly Python code writing Chatbot. Assist with Python programming tasks, debugging, and code optimization. Provide solutions for Python-related queries, help with libraries, algorithms, and best practices, and generate clean, efficient code for various applications."
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
def clear_chat():
return [], ""
# Chatbot Interface
demo = gr.Interface(
fn=respond,
inputs=[
gr.Textbox(value="You are a friendly Python code writing Chatbot. Assist with Python programming tasks, debugging, and code optimization. Provide solutions for Python-related queries, help with libraries, algorithms, and best practices, and generate clean, efficient code for various applications.", label="System message"),
gr.Textbox(placeholder="Enter your message here...", label="User Input", lines=2),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
],
outputs=[
gr.Chatbot(label="Chat History"),
gr.Textbox(label="Current Response", placeholder="Chatbot will reply here...", interactive=False)
],
live=True,
allow_flagging="never", # Disable flagging
layout="vertical",
theme="huggingface", # Optionally, set a different theme
)
# Add additional features to the interface
with demo:
gr.Button("Clear Chat", elem_id="clear-chat").click(clear_chat, outputs=["chatbot", "textbox"])
if __name__ == "__main__":
demo.launch()
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