peichao.dong
commited on
Commit
•
e5580aa
1
Parent(s):
48c34ad
update robot with langchain
Browse files- app.py +14 -37
- requirements.txt +3 -1
app.py
CHANGED
@@ -1,50 +1,24 @@
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import gradio as gr
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import openai
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import os
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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self.prompt = prompt
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self.num_of_round = num_of_round
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self.messages = []
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self.messages.append({"role": "system", "content": self.prompt})
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def ask(self, question):
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try:
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self.messages.append({"role": "user", "content": question})
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=self.messages,
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temperature=0.5,
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max_tokens=2048,
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top_p=1,
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)
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except Exception as e:
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print(e)
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return e
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message = response["choices"][0]["message"]["content"]
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self.messages.append({"role": "assistant", "content": message})
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if len(self.messages) > self.num_of_round*2 + 1:
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del self.messages[1:3]
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# Remove the first round conversation left.
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return message
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prompt = """你是一个中国厨师,用中文回答做菜的问题。你的回答需要满足以下要求:
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1. 你的回答必须是中文
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2. 回答限制在100个字以内"""
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conv = Conversation(prompt, 10)
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def answer(question, history=[]):
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history.append(question)
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response =
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history.append(response)
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responses = [(u, b) for u, b in zip(history[::2], history[1::2])]
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return responses, history
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@@ -58,6 +32,9 @@ with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as d
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(
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container=False)
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demo.launch()
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import gradio as gr
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import openai
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import os
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from langchain.chains import ConversationChain
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from langchain.llms import OpenAI
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from langchain.memory import ConversationEntityMemory
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from langchain.memory.prompt import ENTITY_MEMORY_CONVERSATION_TEMPLATE
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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llm = OpenAI(model_name="text-davinci-003", stop="\n\n",
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max_tokens=2048, temperature=0.5)
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entityMemory = ConversationEntityMemory(llm=llm)
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conversation = ConversationChain(
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llm=llm, prompt=ENTITY_MEMORY_CONVERSATION_TEMPLATE, verbose=True, memory=entityMemory)
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def answer(question, history=[]):
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history.append(question)
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response = conversation.predict(input=question)
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history.append(response)
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responses = [(u, b) for u, b in zip(history[::2], history[1::2])]
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return responses, history
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(
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container=False)
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with gr.Row():
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button = gr.Button("Submit")
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button.click(answer, [txt, state], [chatbot, state])
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demo.launch()
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requirements.txt
CHANGED
@@ -1 +1,3 @@
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openai==0.27.4
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openai==0.27.4
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gradio
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langchain
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