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@ -9,10 +9,11 @@ MAX_TURNS = 20
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MAX_BOXES = MAX_TURNS * 2 |
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def predict(input, history=None): |
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def predict(input, max_length, top_p, temperature, history=None): |
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if history is None: |
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history = [] |
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response, history = model.chat(tokenizer, input, history) |
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response, history = model.chat(tokenizer, input, history, max_length=max_length, top_p=top_p, |
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temperature=temperature) |
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updates = [] |
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for query, response in history: |
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updates.append(gr.update(visible=True, value="用户:" + query)) |
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@ -33,8 +34,12 @@ with gr.Blocks() as demo:
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with gr.Row(): |
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with gr.Column(scale=4): |
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False) |
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter", lines=11).style( |
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container=False) |
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with gr.Column(scale=1): |
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max_length = gr.Slider(0, 4096, value=2048, step=1.0, label="Maximum length", interactive=True) |
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top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True) |
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temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True) |
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button = gr.Button("Generate") |
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button.click(predict, [txt, state], [state] + text_boxes) |
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button.click(predict, [txt, max_length, top_p, temperature, state], [state] + text_boxes) |
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demo.queue().launch(share=True) |
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