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Upload prompt.py
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prompt.py
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import gradio as gr
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from langchain.agents import create_pandas_dataframe_agent
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from langchain.llms import OpenAI
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import pandas as pd
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from langchain import OpenAI
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from langchain.chat_models import ChatOpenAI
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import os
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from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
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from langchain import OpenAI,LLMChain
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os.environ['OPENAI_API_KEY'] = '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'
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os.environ["WOLFRAM_ALPHA_APPID"] = "5829GX-JVY5Y6LR3Q"
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prefix = """
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Hi! I'm a data analysis bot. I can help you perform basic exploratory data analysis (EDA) on your pandas dataframe.
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To get started, please make sure you have pandas and matplotlib installed and provide me with a valid pandas dataframe by assigning it to the variable 'df'.
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if the user ask anything other than questions related to the data analysis answer with "I cannot help you with that"
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When you're ready to begin, type 'Start' and I'll perform the following tasks:
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- List all the column names.
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- Count the number of rows and columns.
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- Count the number of missing values.
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- Compute descriptive statistics for numerical columns (count, mean, standard deviation, minimum, maximum, and quartiles).
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- Get value counts for categorical variables.
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- Identify any outliers, anomalies, or unusual patterns in the data.
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"""
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suffix = """
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Please make sure to perform all the tasks you can and answer them one by one.\
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Make sure you perform all the taks you can and answer them one by one
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answer in this format
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"list column names:
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"Index","Class"
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Input:
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{input}
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Agent Scratchpad:
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{agent_scratchpad}
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"""
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global df
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df = pd.read_csv('titanic.csv')
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pandas = create_pandas_dataframe_agent(OpenAI(temperature=0), df, verbose=True)
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llm = ChatOpenAI(temperature=0)
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tools = [
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Tool(
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name = "Pandas",
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func= pandas.run,
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description="Useful to seach dataframe and perform data analysis"
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)
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]
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prompt = ZeroShotAgent.create_prompt(
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tools,
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prefix=prefix,
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suffix=suffix,
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input_variables=["input","agent_scratchpad"]
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)
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llm_chain = LLMChain(llm=OpenAI(temperature=0), prompt=prompt)
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tool_names = [tool.name for tool in tools]
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agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names)
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def reply(input):
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try:
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agent_executor = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True)
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message = agent_executor.run(input)
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return message
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except Exception as e:
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message = f"An error occurred: {str(e)}"
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return message
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input_text = gr.inputs.Textbox(
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label="Enter your questions here",
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placeholder="Enter 'Start' for basic EDA",
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lines=3
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)
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text_output = gr.outputs.Textbox(label="Answer")
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description = ""
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iface = gr.Interface(
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fn=reply,
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inputs=input_text,
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outputs=text_output,
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title="Auto-Data Analysis",
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description=description,
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theme="light",
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layout="vertical",
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allow_flagging=False,
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).launch()
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