Create ollama_chat_with_streamlit.py
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开源模型 使用 Ollama 调用 llama3.2/ollama_chat_with_streamlit.py
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开源模型 使用 Ollama 调用 llama3.2/ollama_chat_with_streamlit.py
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"""
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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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import ollama
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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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model_name = 'llama3.2'
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prompt = st.chat_input("在这里输入您的内容")
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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_chat(prompt):
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st.session_state.messages.append({'role': 'user', 'content': prompt})
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response = ollama.chat(model=model_name, messages=st.session_state.messages, stream=True)
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full_content = ''
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for part in response:
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full_content += part['message']['content']
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message_placeholder.markdown(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": full_content, "avatar": "assistant"})
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return 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 = response_of_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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