322 lines
13 KiB
Python
322 lines
13 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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# 以下密钥信息从控制台获取
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appid = " " # 填写控制台中获取的 APPID 信息
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api_secret = " " # 填写控制台中获取的 APISecret 信息
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api_key =" " # 填写控制台中获取的 APIKey 信息
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with st.sidebar:
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with st.expander('模型', expanded=True):
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API_model = st.radio('选择：', ('讯飞 - 星火大模型 V1.5', '讯飞 - 星火大模型 V2.0', '讯飞 - 星火大模型 V3.0', '讯飞 - 星火大模型 V3.5'), key='choose_API_model')
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if API_model == '讯飞 - 星火大模型 V1.5':
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API_model_0 = '星火大模型 V1.5'
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elif API_model == '讯飞 - 星火大模型 V2.0':
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API_model_0 = '星火大模型 V2.0'
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elif API_model == '讯飞 - 星火大模型 V3.0':
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API_model_0 = '星火大模型 V3.0'
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elif API_model == '讯飞 - 星火大模型 V3.5':
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API_model_0 = '星火大模型 V3.5'
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st.write('当前模型：'+API_model_0)
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with st.expander('参数', expanded=True):
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top_k = st.slider('top_k', 1, 6, value=4, step=1, key='top_k_session')
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temperature = st.slider('temperature', 0.01, 1.0, value=0.5, step=0.01, key='temperature_session')
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def reset_parameter():
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st.session_state['top_k_session'] = 4
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st.session_state['temperature_session'] = 0.5
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reset_parameter_button = st.button('重置', on_click=reset_parameter)
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# 云端环境的服务地址
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if API_model == '讯飞 - 星火大模型 V1.5':
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domain = "general" # v1.5版本
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Spark_url = "ws://spark-api.xf-yun.com/v1.1/chat" # v1.5环境的地址
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elif API_model == '讯飞 - 星火大模型 V2.0':
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domain = "generalv2" # v2.0版本
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Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat" # v2.0环境的地址
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elif API_model == '讯飞 - 星火大模型 V3.0':
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domain = "generalv3" # v3.0版本
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Spark_url = "ws://spark-api.xf-yun.com/v3.1/chat" # v3.0环境的地址
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elif API_model == '讯飞 - 星火大模型 V3.5':
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domain = "generalv3.5" # v3.5版本
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Spark_url = "ws://spark-api.xf-yun.com/v3.5/chat" # v3.5环境的地址
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import _thread as thread
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import base64
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import datetime
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import hashlib
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import hmac
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import json
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from urllib.parse import urlparse
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import ssl
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from datetime import datetime
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from time import mktime
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from urllib.parse import urlencode
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from wsgiref.handlers import format_date_time
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import websocket # 使用websocket_client
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answer = ""
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class Ws_Param(object):
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# 初始化
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def __init__(self, APPID, APIKey, APISecret, Spark_url):
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self.APPID = APPID
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self.APIKey = APIKey
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self.APISecret = APISecret
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self.host = urlparse(Spark_url).netloc
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self.path = urlparse(Spark_url).path
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self.Spark_url = Spark_url
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# 生成url
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def create_url(self):
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# 生成RFC1123格式的时间戳
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now = datetime.now()
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date = format_date_time(mktime(now.timetuple()))
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# 拼接字符串
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signature_origin = "host: " + self.host + "\n"
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signature_origin += "date: " + date + "\n"
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signature_origin += "GET " + self.path + " HTTP/1.1"
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# 进行hmac-sha256进行加密
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signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
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digestmod=hashlib.sha256).digest()
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signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')
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authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'
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authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
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# 将请求的鉴权参数组合为字典
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v = {
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"authorization": authorization,
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"date": date,
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"host": self.host
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}
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# 拼接鉴权参数，生成url
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url = self.Spark_url + '?' + urlencode(v)
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# 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
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return url
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# 收到websocket错误的处理
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def on_error(ws, error):
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print("### error:", error)
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# 收到websocket关闭的处理
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def on_close(ws,one,two):
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print(" ")
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# 收到websocket连接建立的处理
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def on_open(ws):
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thread.start_new_thread(run, (ws,))
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def run(ws, *args):
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data = json.dumps(gen_params(appid=ws.appid, domain= ws.domain,question=ws.question))
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ws.send(data)
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# 收到websocket消息的处理
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def on_message(ws, message):
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# print(message)
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data = json.loads(message)
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code = data['header']['code']
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if code != 0:
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print(f'请求错误: {code}, {data}')
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ws.close()
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else:
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choices = data["payload"]["choices"]
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status = choices["status"]
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content = choices["text"][0]["content"]
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global answer
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answer += content
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message_placeholder.markdown(answer)
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if status == 2:
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ws.close()
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def gen_params(appid, domain,question):
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"""
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通过appid和用户的提问来生成请参数
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"""
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data = {
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"header": {
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"app_id": appid,
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"uid": "1234"
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},
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"parameter": {
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"chat": {
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"domain": domain,
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"random_threshold": 0.5,
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"temperature": temperature,
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"top_k": top_k,
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"max_tokens": 4096,
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"auditing": "default"
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}
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},
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"payload": {
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"message": {
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"text": question
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}
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}
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}
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return data
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def main_chat(appid, api_key, api_secret, Spark_url,domain, question):
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wsParam = Ws_Param(appid, api_key, api_secret, Spark_url)
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websocket.enableTrace(False)
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wsUrl = wsParam.create_url()
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ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)
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ws.appid = appid
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ws.question = question
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ws.domain = domain
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ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
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def getlength(text):
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length = 0
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for content in text:
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temp = content["content"]
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leng = len(temp)
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length += leng
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return length
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def checklen(text):
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while (getlength(text) > 8000):
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del text[0]
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return text
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def getText(role,content, text):
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jsoncon = {}
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jsoncon["role"] = role
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jsoncon["content"] = content
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text.append(jsoncon)
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return text
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prompt_text = st.chat_input("请在这里输入您的命令")
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if API_model == '讯飞 - 星火大模型 V1.5':
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if "text" not in st.session_state:
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st.session_state.text = []
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if "messages" not in st.session_state:
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st.session_state.messages = []
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def clear_all():
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st.session_state.messages = []
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st.session_state.text = []
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if st.session_state.messages == []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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for message in st.session_state.messages:
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with st.chat_message(message["role"], avatar=message.get("avatar")):
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st.markdown(message["content"])
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if prompt_text:
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if st.session_state.messages != []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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input_placeholder.markdown(prompt_text)
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st.session_state.messages.append({"role": "user", "content": prompt_text, "avatar": "user"})
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st.session_state.text = getText("user", prompt_text, st.session_state.text)
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question = checklen(st.session_state.text)
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main_chat(appid,api_key,api_secret,Spark_url,domain,question)
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st.session_state.text = getText("assistant", answer, st.session_state.text)
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st.session_state.messages.append({"role": "robot", "content": answer, "avatar": "assistant"})
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st.rerun()
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button_clear = st.button("清空", on_click=clear_all)
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elif API_model == '讯飞 - 星火大模型 V2.0':
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if "text2" not in st.session_state:
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st.session_state.text2 = []
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if "messages2" not in st.session_state:
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st.session_state.messages2 = []
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def clear_all2():
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st.session_state.messages2 = []
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st.session_state.text2 = []
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if st.session_state.messages2 == []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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for message in st.session_state.messages2:
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with st.chat_message(message["role"], avatar=message.get("avatar")):
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st.markdown(message["content"])
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if prompt_text:
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if st.session_state.messages2 != []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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input_placeholder.markdown(prompt_text)
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st.session_state.messages2.append({"role": "user", "content": prompt_text, "avatar": "user"})
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st.session_state.text2 = getText("user", prompt_text, st.session_state.text2)
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question = checklen(st.session_state.text2)
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main_chat(appid,api_key,api_secret,Spark_url,domain,question)
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st.session_state.text2 = getText("assistant", answer, st.session_state.text2)
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st.session_state.messages2.append({"role": "robot", "content": answer, "avatar": "assistant"})
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st.rerun()
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button_clear = st.button("清空", on_click=clear_all2, key='clear2')
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elif API_model == '讯飞 - 星火大模型 V3.0':
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if "text3" not in st.session_state:
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st.session_state.text3 = []
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if "messages3" not in st.session_state:
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st.session_state.messages3 = []
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def clear_all3():
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st.session_state.messages3 = []
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st.session_state.text3 = []
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if st.session_state.messages3 == []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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for message in st.session_state.messages3:
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with st.chat_message(message["role"], avatar=message.get("avatar")):
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st.markdown(message["content"])
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if prompt_text:
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if st.session_state.messages3 != []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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input_placeholder.markdown(prompt_text)
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st.session_state.messages3.append({"role": "user", "content": prompt_text, "avatar": "user"})
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st.session_state.text3 = getText("user", prompt_text, st.session_state.text3)
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question = checklen(st.session_state.text3)
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main_chat(appid,api_key,api_secret,Spark_url,domain,question)
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st.session_state.text3 = getText("assistant", answer, st.session_state.text3)
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st.session_state.messages3.append({"role": "robot", "content": answer, "avatar": "assistant"})
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st.rerun()
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button_clear = st.button("清空", on_click=clear_all3, key='clear3')
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elif API_model == '讯飞 - 星火大模型 V3.5':
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if "text4" not in st.session_state:
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st.session_state.text4 = []
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if "messages4" not in st.session_state:
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st.session_state.messages4 = []
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def clear_all4():
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st.session_state.messages4 = []
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st.session_state.text4 = []
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if st.session_state.messages4 == []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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for message in st.session_state.messages4:
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with st.chat_message(message["role"], avatar=message.get("avatar")):
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st.markdown(message["content"])
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if prompt_text:
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if st.session_state.messages4 != []:
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with st.chat_message("user", avatar="user"):
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input_placeholder = st.empty()
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with st.chat_message("robot", avatar="assistant"):
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message_placeholder = st.empty()
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input_placeholder.markdown(prompt_text)
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st.session_state.messages4.append({"role": "user", "content": prompt_text, "avatar": "user"})
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st.session_state.text4 = getText("user", prompt_text, st.session_state.text4)
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question = checklen(st.session_state.text4)
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main_chat(appid,api_key,api_secret,Spark_url,domain,question)
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st.session_state.text4 = getText("assistant", answer, st.session_state.text4)
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st.session_state.messages4.append({"role": "robot", "content": answer, "avatar": "assistant"})
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st.rerun()
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button_clear = st.button("清空", on_click=clear_all4, key='clear4') |