Of late, the illustrious OpenAI graced the realm with the unveiling of a wondrous Code Interpreter within ChatGPT, an offering available to the honored paying patrons. Yet, alas, the price of entry stands at a hefty $20 per lunar cycle, a sum beyond the reach of many a soul. Fear not, for I bring tidings of a path to partake in the marvels of ChatGPT Code Interpreter without purging thy coffers. A virtuoso known by the moniker of Shroominic hath crafted an open-source rendition of ChatGPT’s Code Interpreter, enabling thee to delve into the annals of dataset scrutiny and visual opulence akin to ChatGPT. Therefore, let us proceed forthwith and uncover the art of wielding Code Interpreter without a toll.
Reflections Before the Voyage
In this voyage of discovery, we shall navigate the uncharted waters of the free and open-source Code Interpreter API project housed within the hallowed halls of Github. Behold, for this venture calls upon CodeBoxes, the arcane API of OpenAI, LangChain Agents, and a myriad of Pythonic companions to mimic the essence of ChatGPT’s resplendent Code Interpreter.
Lo, when traversing the realm of diminutive datasets, the path shall be serene and unencumbered by tolls. Yet, should thine quest lead thee to the realm of voluminous data, take heed! The rate limits imposed by OpenAI on the free wanderers may thwart thy endeavors. Should thou seek to unfurl the vast tapestries of data, consider bestowing payment grace upon thy OpenAI account.
Amidst the whispers of a GPT-4 API, the tapestry remains unblemished. Fear not, for I hath tailored the strands of code to harmonize with the symphony of the GPT-3.5-turbo model.
Step 1: Invocation of the Code Interpreter API
Behold, the initial step in thy odyssey! Enkindle the flames of Python and Pip upon thine device, following the illuminated path in our manuscript. Ensure the presence of python.exe within the tapestry of thy system as you proceed.
Thus, within the sanctum of Terminal, invoke the commands below to ascertain the harmonious setup:
python --version
pip --versionUpon the canvas of thy screen, the versions shall be revealed, presenting a spectacle of serenity.
Embark upon the quest to instill the Code Interpreter API with the following incantation:
pip install "codeinterpreterapi[all]"Let the energies flow through the ether, binding the elements in a harmonious alliance.
Step 2: Unveil ChatGPT Code Interpreter, Freely
With the threads of knowledge woven, ’tis time to unfurl the banners of the Code Interpreter API for free.
As the hourglass of time pours its sands, open a sanctum of code such as Sublime Text or Notepad++, the quills of programmers of yore.
Now, inherit the script below, a precious gem from the Github repository of the Code Interpreter API, adorned with my own alterations to evade unforeseen tribulations.
import os
os.environ["OPENAI_API_KEY"] = "PASTE THE OPENAI API KEY HERE"
from codeinterpreterapi import CodeInterpreterSession
...
At the juncture marked in scarlet hue, implant the ember of thy OpenAI API key to unlock the gates of knowledge. Thus, with access to the GPT-4 API, reshape the model in the tenth line to "gpt-4". Subsequently, in the revelry of the fourteenth line, proffer thy query, outlining the wondrous creation desired.
Henceforth, preserve the tome as “chart.py” upon thy Desktop, festooned with the extension .py.
At the behest of the winds of change, metamorphose the query within the script and breathe life into the “chart.py” anew to enchant fresh spectacles.
Step 3: A Rendezvous with Data Analysis Through Code Interpreter API
The unwritten manuscript of data beckons thee to partake in the ritual of data analysis, unfurling the scrolls of local wisdom without the weight of coin.
Within the enclave named “analysis” upon the Desktop, sculpt a host for thy dataset—a sanctuary for numbers in the garb of CSV, XSL, or XSLX. An exemplar in this voyage shall take the form of “globaltemperature.csv”, nestled within the bosom of the “analysis” demesne.
Henceforth, within the chronicles of code, inscribe the verse below:
import os
os.environ["OPENAI_API_KEY"] = "PASTE THE OPENAI API KEY HERE"
from codeinterpreterapi import CodeInterpreterSession, File
...
Let thy OpenAI API key grace the corners of the script, lighting the path to wisdom. Hence, transmute “globaltemperature.csv” into the name of thine own dataset. Furthermore, sculpt the model and the query to reflect the essence of thy data’s tale.
Thus, treasure the parchment as “data.py” ensconced within the “analysis” sanctum upon thy Desktop.
Venture forth into the mists of the Terminal, invoking the ritual to summon the file:
cd Desktop/analysis
python data.pyBehold the visage of the chart born of thy dataset, a treasure unearthed from the depths of code interpreter without the weight of tribute.
In conclusion, with a quill adorned in the hues of wisdom, weave the tale of dataset analysis using the Code Interpreter API, unshackled by the chains of payment, but guided by the light of knowledge.
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