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import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("meta-llama/Llama-3.2-3B-Instruct")
def respond(
model_name,
message,
history: list[tuple[str, str]],
system_message,
):
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 = ""
if model_name == "Llama":
for message in client.chat_completion(
messages,
max_tokens=512,
stream=True,
temperature=0.7,
top_p=0.95,
):
token = message.choices[0].delta.content
response += token
elif model_name == "Chatgpt":
response = "ChatGPT functionality is not yet implemented."
elif model_name == "Claude":
response = "Claude functionality is not yet implemented."
else:
response = "Model not recognized."
return response
# CSS for styling the interface
css = """
body {
background-color: #06688E; /* Dark background */
color: white; /* Text color for better visibility */
}
.gr-button {
background-color: #42B3CE !important; /* White button color */
color: black !important; /* Black text for contrast */
border: none !important;
padding: 8px 16px !important;
border-radius: 5px !important;
}
.gr-button:hover {
background-color: #e0e0e0 !important; /* Slightly lighter button on hover */
}
"""
# Define the button click handler to hide the dropdown
def on_button_click(model_name, message, history, system_message, dropdown_state):
# Close the dropdown by setting the state to False
return respond(model_name, message, history, system_message), gr.update(visible=False)
# Define the Gradio interface with buttons and model selection
demo = gr.Interface(
fn=on_button_click,
inputs=[
gr.Textbox(value="Hello!", label="User Message"),
gr.Textbox(value="You are a virtual health assistant. Your primary goal is to assist with health-related queries.", label="System Message", visible=False),
gr.Button("Chatgpt"),
gr.Button("Llama"),
gr.Button("Claude"),
gr.State(value=False), # Add state to track visibility of the dropdown
],
outputs=[
"text", # For the model's response
gr.State(value=False), # This should be the state output, which tracks visibility
],
css=css, # Pass the custom CSS here
)
if __name__ == "__main__":
demo.launch(share=True)
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