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import gradio as gr | |
from huggingface_hub import InferenceClient | |
# Set up the InferenceClient for the chatbot | |
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 | |
# Define the interface with styling and customization | |
demo = gr.ChatInterface( | |
respond, | |
additional_inputs=[ | |
gr.Textbox(value="You are a friendly Chatbot.", label="System message", lines=1), | |
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)"), | |
], | |
css=""" | |
/* Custom CSS to style the interface */ | |
.gradio-container { | |
background-color: #222222; /* Dark background */ | |
color: #f4f4f4; /* Light text */ | |
font-family: 'Arial', sans-serif; | |
border-radius: 12px; | |
padding: 20px; | |
} | |
.gradio-button { | |
background-color: #ff4081; /* Pink buttons */ | |
color: white; | |
border-radius: 10px; | |
font-size: 16px; | |
padding: 12px 24px; | |
} | |
.gradio-button:hover { | |
background-color: #e91e63; /* Darker pink on hover */ | |
} | |
.gradio-textbox { | |
background-color: #333333; /* Dark background for textboxes */ | |
border-radius: 12px; | |
color: #f4f4f4; /* Light text inside the textboxes */ | |
padding: 12px; | |
} | |
.gradio-chat { | |
background-color: #333333; | |
border-radius: 12px; | |
padding: 16px; | |
} | |
.gradio-chat .gradio-message-user { | |
background-color: #ff4081; /* Pink background for user messages */ | |
border-radius: 12px; | |
color: #f4f4f4; | |
} | |
.gradio-chat .gradio-message-assistant { | |
background-color: #555555; /* Darker background for assistant messages */ | |
border-radius: 12px; | |
color: #f4f4f4; | |
} | |
.gradio-container h1 { | |
color: #ff4081; /* Title in pink */ | |
font-size: 36px; | |
text-align: center; | |
} | |
.gradio-container .gradio-textbox input { | |
font-size: 16px; | |
} | |
.gradio-container p { | |
color: #bdbdbd; /* Light grey description text */ | |
text-align: center; | |
font-size: 14px; | |
} | |
""" | |
) | |
if __name__ == "__main__": | |
demo.launch() | |