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import random
import gradio as gr
from huggingface_hub import InferenceClient
def random_response(message, history):
return random.choice(["Yes", "No"])
with gr.Blocks(theme=gr.themes.Soft(primary_hue="teal", secondary_hue="slate", neutral_hue="neutral")) as demo: # Using Soft theme with adjusted hues for a refined look
gr.HTML("""<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fzelk12%2FChat_interface_test">
<img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fzelk12%2FChat_interface_test&countColor=%23263759" />
</a>""")
with gr.Accordion(
"API",
open=False,
):
with gr.Row():
gr.Textbox(
label="API key",
scale=4,
)
gr.Button(
value="Apply",
scale=1,
)
gr.Dropdown(label="Choose provider")
gr.ChatInterface(random_response,
multimodal=True,
chatbot=gr.Chatbot(
label="output",
),
type="messages",
textbox=gr.MultimodalTextbox(
label="input",
),
editable=True,
title="Chat interface test",
save_history=True,
)
with gr.Accordion(
"Settings",
open=False,
):
gr.Dropdown(label="Choose model")
gr.Textbox(label="System instructions",)
gr.Slider(label="temperature",
interactive=True,
minimum=0,
maximum=2,
value=0.95)
gr.Slider(label="topP",
interactive=True,
minimum=0,
maximum=1,
value=0.5)
gr.Slider(label="topK",
interactive=True,
value=100)
gr.Checkbox(
label="Enable output stream"
)
if __name__ == "__main__":
demo.launch() |