mirror of https://github.com/THUDM/ChatGLM-6B
Update web_demo.py
parent
88ddfdd5dc
commit
0acf1e5851
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@ -19,6 +19,7 @@ def predict(input, max_length, top_p, temperature, history=None):
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updates.append(gr.update(visible=True, value="用户:" + query))
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updates.append(gr.update(visible=True, value="ChatGLM-6B:" + response))
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flag = True
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update_pos = 0
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for delta, seq, history in model.chat_stream(tokenizer, input, history, max_length=max_length, top_p=top_p,
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temperature=temperature):
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@ -26,10 +27,11 @@ def predict(input, max_length, top_p, temperature, history=None):
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if flag:
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updates.append(gr.update(visible=True, value="用户:" + input))
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updates.append(gr.update(visible=True, value="ChatGLM-6B:" + response))
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update_pos = len(updates) - 1
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flag = False
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else:
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updates[-2]=gr.update(visible=True, value="用户:" + input)
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updates[-1]=gr.update(visible=True, value="ChatGLM-6B:" + response)
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updates[update_pos-1]=gr.update(visible=True, value="用户:" + input)
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updates[update_pos]=gr.update(visible=True, value="ChatGLM-6B:" + response)
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if len(updates) < MAX_BOXES:
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updates = updates + [gr.Textbox.update(visible=False)] * (MAX_BOXES - len(updates))
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yield [history] + updates
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