When someone says “open a terminal and run pip install gradio openai”, they mean: type that command into a command-line terminal (not a website textbox) so Python can download and install those libraries into your environment. There is no “download button” because pip is the installer.
- Where do you run that command?
It depends where you’re running your code:
A) On your own computer
• Windows: open PowerShell (Start menu → type “PowerShell”)
• Mac/Linux: open Terminal
Then run: python -m pip install gradio openai
(Using python -m pip is more reliable than plain pip.)
B) Inside a Hugging Face Space (recommended way)
You usually don’t run pip install … manually. Instead you add a file called requirements.txt in the Space repo (root folder)
with: gradio openai
Hugging Face will install those automatically when the Space builds. Hugging Face documents this dependency flow here.
Note: manually installing packages in a Space terminal can work temporarily, but it may break when the Space sleeps/restarts. Requirements are the lasting method.
- How does Grok/xAI API connect?
xAI’s API is designed to be OpenAI-SDK compatible, meaning you can often use the openai Python package, but point it at xAI’s base URL and use your xAI key.
Example (Python):
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ[“XAI_API_KEY”],
base_url=“https://api.x.ai/v1”,
)
resp = client.chat.completions.create(
model=“grok-4”,
messages=[{“role”: “user”, “content”: “Hello from a Hugging Face Space”}],
)
print(resp.choices[0].message.content)
- Where do you put the API key in a Space?
In your Space settings:
• Go to Settings → Secrets
• Add XAI_API_KEY with your key value
Then your code reads it via os.environ[“XAI_API_KEY”].
- About “bypassing” Grok behavior limits
If you mean “legally bypass” guardrails or access restrictions: don’t. Use the official API and whatever controls it provides (system messages, tools, etc.). If you need full control, the real alternative is using an open-source model you can run yourself.