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import gradio as gr | |
from huggingface_hub import InferenceClient | |
client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf") | |
def respond(message, history, max_tokens, temperature, top_p): | |
"""Sends user input directly to the model without extra formatting.""" | |
response = client.text_generation( | |
message.strip(), # β Sends only the question | |
max_new_tokens=max_tokens, | |
temperature=temperature, | |
top_p=top_p, | |
) | |
yield response.strip() # β Removes unnecessary spaces/newlines | |
demo = gr.ChatInterface( | |
respond, | |
additional_inputs=[ | |
gr.Slider(minimum=1, maximum=250, value=128, 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)"), | |
], | |
) | |
if __name__ == "__main__": | |
demo.launch() | |