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b72d18a 09ac19e b72d18a 09ac19e b72d18a 09ac19e b72d18a 09ac19e b72d18a 09ac19e b72d18a 09ac19e b72d18a 09ac19e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | import gradio as gr
from huggingface_hub import InferenceClient
AVAILABLE_MODELS = [
"openai/gpt-oss-20b",
"openai/gpt-oss-mini-20b",
"meta-llama/Llama-3.3-70B-Instruct",
"meta-llama/Llama-3.1-8B-Instruct",
"mistralai/Mixtral-8x7B-Instruct-v0.1",
"mistralai/Mistral-7B-Instruct-v0.3",
"Qwen/Qwen2.5-72B-Instruct",
"google/gemma-2-27b-it",
"hydffgg/HOS-OSS-270M",
"Hyggshi-AI/HOS-OSS-200M",
]
def respond(
message,
history: list[dict[str, str]],
system_message,
max_tokens,
temperature,
top_p,
selected_model,
hf_token: gr.OAuthToken,
):
client = InferenceClient(token=hf_token.token, model=selected_model)
messages = [{"role": "system", "content": system_message}]
messages.extend(history)
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,
):
choices = message.choices
token = ""
if len(choices) and choices[0].delta.content:
token = choices[0].delta.content
response += token
yield response
chatbot = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="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)",
),
gr.Dropdown(
choices=AVAILABLE_MODELS,
value=AVAILABLE_MODELS[0],
label="🤖 Model",
info="Select the model to use for chat completion",
),
],
)
with gr.Blocks() as demo:
with gr.Sidebar():
gr.LoginButton()
gr.Markdown("## ⚙️ Settings")
gr.Markdown(
"Select your preferred model and adjust parameters in the chat panel below."
)
gr.Markdown("### 📋 Available Models")
for model in AVAILABLE_MODELS:
gr.Markdown(f"- `{model.split('/')[-1]}`")
chatbot.render()
if __name__ == "__main__":
demo.launch() |