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import gradio as gr
from huggingface_hub import InferenceClient
# Cliente da Inference API
client = InferenceClient("lambdaindie/lambdai")
# Função para responder no chatbot
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
# Adicionando a história da conversa
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 = ""
# Fluxo de resposta do cliente da API
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
# Interface do Gradio com chat customizado
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="", label="System message", lines=1, placeholder="System message..."),
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)",
),
],
theme="huggingface", # Usando tema do Hugging Face para um estilo moderno
title="Lambda Chatbot", # Título na interface
description="Chatbot alimentado pelo modelo Lambdai", # Descrição simples
css="""
.chatbox {
background-color: #0e1117;
color: #f5f5f5;
font-family: 'JetBrains Mono', monospace;
border-radius: 8px;
border: 1px solid #444;
}
.gradio-container {
background-color: #121212;
padding: 20px;
border-radius: 10px;
}
.gr-button {
background-color: #4a90e2;
color: #fff;
font-family: 'JetBrains Mono', monospace;
border-radius: 5px;
}
.gr-button:hover {
background-color: #357ab7;
}
.gr-slider {
background-color: #333;
color: #f5f5f5;
border-radius: 8px;
}
.gr-slider .slider {
background-color: #444;
}
.gr-chatbox-container {
background-color: #181a1f;
border-radius: 10px;
}
.gr-output {
font-family: 'JetBrains Mono', monospace;
color: #f5f5f5;
}
""", # Customização de CSS
)
if __name__ == "__main__":
demo.launch() |