92 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			92 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
"""
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This code is supported by the website: https://www.guanjihuan.com
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The newest version of this code is on the web page: https://www.guanjihuan.com/archives/38502
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"""
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import streamlit as st
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st.set_page_config(
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    page_title="Chat",
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    layout='wide'
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)
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import openai
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API_BASE = "https://api.deepseek.com"
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API_KEY = "your key"
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with st.sidebar:
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    with st.expander('参数', expanded=True):
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        top_p = st.slider('top_p', 0.01, 1.0, step=0.01, value=0.8, key='top_p_session')
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        temperature = st.slider('temperature', 0.51, 1.0, step=0.01, value=0.85, key='temperature_session') 
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        def reset_parameter():
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            st.session_state['top_p_session'] = 0.8
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            st.session_state['temperature_session'] = 0.85
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        reset_parameter_button = st.button('重置', on_click=reset_parameter)
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prompt = st.chat_input("在这里输入您的命令")
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def clear_all():
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    st.session_state.messages = []
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    st.session_state.ai_response = []
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if 'messages' not in st.session_state:
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    st.session_state.messages = []
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if 'ai_response' not in st.session_state:
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    st.session_state.ai_response = []
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for ai_response in st.session_state.ai_response:
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    with st.chat_message(ai_response["role"], avatar=ai_response.get("avatar")):
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        st.markdown(ai_response["content"])
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prompt_placeholder = st.chat_message("user", avatar='user')
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with st.chat_message("robot", avatar="assistant"):
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    message_placeholder = st.empty()
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def response_of_deepseek_chat(prompt):
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    st.session_state.messages.append({'role': 'user', 'content': prompt})
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    client = openai.OpenAI(
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        api_key=API_KEY,
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        base_url=API_BASE
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    )
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    completion = client.chat.completions.create(
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        model="deepseek-reasoner",
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        messages=st.session_state.messages,
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        stream=True,
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        temperature=temperature, 
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        top_p=top_p,
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    )
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    full_content = ''
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    all_full_content = ''
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    think_or_not = 1
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    answer_or_not = 1
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    for chunk in completion:
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        response = chunk.choices[0].delta.content
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        reasoning_content = chunk.choices[0].delta.reasoning_content
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        if response == None:
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            if think_or_not == 1:
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                all_full_content += '[开始思考]\n\n'
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                think_or_not = 0
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            all_full_content += reasoning_content
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        else:
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            if answer_or_not == 1:
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                all_full_content += '\n\n[结束思考]\n\n'
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                answer_or_not = 0
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            all_full_content += response
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            full_content += response
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        message_placeholder.markdown(all_full_content)
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        if stop_button:
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            break
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    st.session_state.messages.append({'role': 'assistant',
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                        'content': full_content})
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    st.session_state.ai_response.append({"role": "robot", "content": all_full_content, "avatar": "assistant"})
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    return all_full_content
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if prompt:
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    prompt_placeholder.markdown(prompt)
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    st.session_state.ai_response.append({"role": "user", "content": prompt, "avatar": 'user'})
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    stop = st.empty()
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    stop_button = stop.button('停止', key='break_response')
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    response_of_deepseek_chat(prompt)
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    stop.empty()
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button_clear = st.button("清空", on_click=clear_all, key='clear')
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   |