peichao.dong commited on
Commit ·
405c09f
1
Parent(s): cbbcc75
add python code tool
Browse files- agents/tools/python_code_tool.py +76 -0
- app.py +19 -6
agents/tools/python_code_tool.py
ADDED
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@@ -0,0 +1,76 @@
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import re
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from langchain import LLMChain, OpenAI, PromptTemplate
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from langchain.chat_models import ChatOpenAI
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from langchain.agents import tool
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from langchain.utilities import PythonREPL
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generate_python_code = """
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请用python写一段代码实现如下需求:
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---
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{input}
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---
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"""
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generate_python_code_promopt = PromptTemplate(input_variables=["input"], template=generate_python_code,)
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generate_code_chain = LLMChain(llm = OpenAI(temperature=0.1), prompt=generate_python_code_promopt, output_key="code")
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@tool("Generate and Excute Python Code ", return_direct=True)
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def generate_and_excute_python_code(input: str) -> str:
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'''useful for when you need to generate python code and excute it'''
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answer_code = generate_code_chain.run(input)
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print(answer_code)
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start = answer_code.find('python') + len('python')
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end = answer_code.rfind('```')
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code_content = answer_code[start:end].strip()
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print(code_content)
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python_repl = PythonREPL()
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result = python_repl.run(code_content)
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return f"""
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code:
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```
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{code_content}
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```
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execute result:
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---
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{result}
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---
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"""
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if __name__ == "__main__":
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input = """
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我有一个json文件url为: https://artwork-assets-staging-sbux.starbucks.com.cn/accountavatars.json
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并按照如下Example进行格式转换
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文件格式为:
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```
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{
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'artworks': {
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'file1.png': {
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'middle@1x': '***',
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'middle@2x': '***',
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'middle@3x': '***'
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},
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'file2.png': {
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'middle@1x': '***',
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'middle@2x': '***',
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'middle@3x': '***'
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}
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}
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}
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```
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输出格式:
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```
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curl https://active.stg.starbucks.com.cn/accountAvatar/file1.png
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curl https://active.stg.starbucks.com.cn/accountAvatar/file2.png
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```
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"""
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result = generate_and_excute_python_code(input)
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print(result)
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app.py
CHANGED
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@@ -2,6 +2,7 @@ import gradio as gr
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from langchain.chains import LLMChain
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from langchain.chat_models import ChatOpenAI
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from langchain.document_loaders import TextLoader
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from chains import HumanFeedBackChain, contextRewriteChain
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from embedding import CustomEmbedding
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from memories import HumenFeedbackBufferMemory
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@@ -91,7 +92,10 @@ def rewriteContext(input, chatbot):
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chatbot.append((input, response))
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return chatbot, response
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-
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toolTextBox = []
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with gr.Blocks() as demo:
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@@ -99,7 +103,7 @@ with gr.Blocks() as demo:
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with gr.Tab("Business"):
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with gr.Row():
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with gr.Column():
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chatbot = gr.Chatbot(
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with gr.Row():
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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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@@ -123,12 +127,12 @@ with gr.Blocks() as demo:
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with gr.Tab("Tech"):
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with gr.Row():
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with gr.Column(
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code_chatbot = gr.Chatbot(
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with gr.Row():
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code = gr.Textbox(show_label=False, label="Code Generate", placeholder="Enter text and press enter").style(
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container=False)
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with gr.Column(
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with gr.Row():
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code_context = gr.Textbox(show_label=True, label="Context", placeholder="Enter Context").style(
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container=False)
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@@ -142,12 +146,21 @@ with gr.Blocks() as demo:
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sendMessageByMultiPart, [code_chatbot, code_context, relateCode, toolTextBox[index]], [code_chatbot]).then(
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generateCodeByMultiPart, [code_context, relateCode, toolTextBox[index], code_chatbot], [code_chatbot, code])
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with gr.Tab("FAQ"):
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faq_chatbot = gr.Chatbot(
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with gr.Row():
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faq = 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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gr.Button("Regenerate embedding").click(generateEmbeddings,[faq_chatbot], [faq_chatbot])
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txt.submit(sendMessage, [chatbot, txt], [chatbot]).then(
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from langchain.chains import LLMChain
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from langchain.chat_models import ChatOpenAI
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from langchain.document_loaders import TextLoader
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from agents.tools.python_util_tool import generate_and_excute_python_code
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from chains import HumanFeedBackChain, contextRewriteChain
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from embedding import CustomEmbedding
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from memories import HumenFeedbackBufferMemory
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chatbot.append((input, response))
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return chatbot, response
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def generateCodeAndExcute(input, chatbot=[]):
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result = generate_and_excute_python_code.run(input)
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chatbot.append((input, result))
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return chatbot
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toolTextBox = []
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with gr.Blocks() as demo:
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with gr.Tab("Business"):
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with gr.Row():
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with gr.Column():
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chatbot = gr.Chatbot().style()
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with gr.Row():
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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.Tab("Tech"):
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with gr.Row():
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with gr.Column():
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code_chatbot = gr.Chatbot().style()
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with gr.Row():
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code = gr.Textbox(show_label=False, label="Code Generate", placeholder="Enter text and press enter").style(
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container=False)
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with gr.Column():
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with gr.Row():
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code_context = gr.Textbox(show_label=True, label="Context", placeholder="Enter Context").style(
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container=False)
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sendMessageByMultiPart, [code_chatbot, code_context, relateCode, toolTextBox[index]], [code_chatbot]).then(
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generateCodeByMultiPart, [code_context, relateCode, toolTextBox[index], code_chatbot], [code_chatbot, code])
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with gr.Tab("FAQ"):
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faq_chatbot = gr.Chatbot().style(max_width="50%")
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with gr.Row():
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faq = 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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gr.Button("Regenerate embedding").click(generateEmbeddings,[faq_chatbot], [faq_chatbot])
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with gr.Tab("TOOL"):
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with gr.Row():
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with gr.Column():
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tool_request = gr.Textbox(show_label=False, placeholder="Enter your tool Request").style(
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container=False, show_copy_button=True)
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tool_button = gr.Button("Generate Code and Execute")
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with gr.Column():
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tool_chatbot = gr.Chatbot(elem_id="chatbot").style(container=False)
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tool_button.click(generateCodeAndExcute,[tool_request, tool_chatbot], [tool_chatbot])
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txt.submit(sendMessage, [chatbot, txt], [chatbot]).then(
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