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@ -21,7 +21,7 @@ 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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tokenizer, model = get_model() |
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if history is None: |
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history = [] |
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@ -35,7 +35,8 @@ def predict(input, history=None):
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message(input, avatar_style="big-smile", key=str(len(history)) + "_user") |
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st.write("AI正在回复:") |
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with st.empty(): |
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for response, history in model.stream_chat(tokenizer, input, history): |
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for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p, |
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temperature=temperature): |
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query, response = history[-1] |
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st.write(response) |
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@ -49,6 +50,15 @@ prompt_text = st.text_area(label="用户命令输入",
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height = 100, |
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placeholder="请在这儿输入您的命令") |
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max_length = st.sidebar.slider( |
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'max_length', 0, 4096, 2048, step=1 |
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) |
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top_p = st.sidebar.slider( |
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'top_p', 0.0, 1.0, 0.6, step=0.01 |
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) |
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temperature = st.sidebar.slider( |
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'temperature', 0.0, 1.0, 0.95, step=0.01 |
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) |
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if 'state' not in st.session_state: |
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st.session_state['state'] = [] |
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@ -56,4 +66,4 @@ if 'state' not in st.session_state:
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if st.button("发送", key="predict"): |
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with st.spinner("AI正在思考,请稍等........"): |
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# text generation |
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st.session_state["state"] = predict(prompt_text, st.session_state["state"]) |
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st.session_state["state"] = predict(prompt_text, max_length, top_p, temperature, st.session_state["state"]) |