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from huggingface_hub import InferenceClient |
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import gradio as gr |
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inference_client = InferenceClient("google/gemma-7b-it") |
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def format_prompt(input_text, history): |
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prompt = "" |
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if history: |
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for previous_prompt, response in history: |
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prompt += f"""<start_of_turn>user |
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{previous_prompt}<end_of_turn> |
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<start_of_turn>model |
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{response}<end_of_turn>""" |
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prompt += f"""<start_of_turn>user |
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{input_text}<end_of_turn> |
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<start_of_turn>model""" |
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return prompt |
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def generate(prompt, history, temperature=0.95, max_new_tokens=512, top_p=0.9, repetition_penalty=1.0): |
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if not history: |
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history = [] |
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temperature = float(temperature) |
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top_p = float(top_p) |
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kwargs = dict( |
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temperature=temperature, |
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max_new_tokens=max_new_tokens, |
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top_p=top_p, |
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repetition_penalty=repetition_penalty, |
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do_sample=True, |
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) |
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formatted_prompt = format_prompt(prompt, history) |
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response = inference_client.text_generation(formatted_prompt, **kwargs, stream=True, details=True, return_full_text=False) |
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output = "" |
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for chunk in response: |
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output += chunk.token.text |
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yield output |
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return output |
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additional_inputs=[ |
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gr.Slider( |
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label="Temperature", |
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value=0.85, |
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minimum=0.1, |
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maximum=1.0, |
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step=0.05, |
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interactive=True, |
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info="A higher value (> 1) will generate randomness and variability in the model response", |
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), |
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gr.Slider( |
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label="Max new tokens", |
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value=512, |
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minimum=128, |
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maximum=1048, |
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step=64, |
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interactive=True, |
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info="The maximum numbers of new tokens generated in the model response", |
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), |
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gr.Slider( |
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label="Top-p (random sampling)", |
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value=0.80, |
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minimum=0.1, |
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maximum=1, |
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step=0.05, |
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interactive=True, |
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info="A smaller value generates the highest probability tokens, a higher value (~ 1) allows low-probability tokens", |
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), |
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gr.Slider( |
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label="Repetition penalty", |
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value=1.0, |
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minimum=0.5, |
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maximum=2.0, |
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step=0.05, |
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interactive=True, |
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info="Penalizes repeated tokens in model response", |
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) |
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] |
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chatbot = gr.Chatbot(height=500) |
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with gr.Blocks(theme=gr.themes.Soft()) as demo: |
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gr.HTML("<center><h1>Google Gemma 7B IT</h1><center>") |
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gr.ChatInterface( |
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generate, |
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chatbot=chatbot, |
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retry_btn=None, |
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undo_btn=None, |
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clear_btn="Clear", |
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description="This chatbot is using a Hugging Face Inference Client for the google/gemma-7b-it model.", |
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additional_inputs=additional_inputs, |
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examples=[["Explain artificial intelligence in a few lines."]] |
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) |
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demo.queue().launch() |
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