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import gradio as gr
import requests
import os
# Configure the endpoint and authentication
ENDPOINT_URL = os.environ.get("ENDPOINT_URL", "https://dz0eq6vxq3nm0uh7.us-east-1.aws.endpoints.huggingface.cloud")
# HF_API_TOKEN = os.environ.get("HF_API_TOKEN") # Get API token from environment variable
HF_API_TOKEN = os.environ.get("HF_API_TOKEN", "").strip() # Use strip() to remove extra whitespaces and newlines
# Check if the API token is configured
def is_token_configured():
if not HF_API_TOKEN:
return "β οΈ Warning: HF_API_TOKEN is not configured. The app won't work until you add this secret in your Space settings."
return "β
API token is configured"
import requests
import json
import requests
def check_safety(input_text):
if not input_text.strip():
return "β οΈ Please enter some text to check."
payload = {
"inputs": input_text
}
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {HF_API_TOKEN}"
}
try:
response = requests.post(ENDPOINT_URL, json=payload, headers=headers, timeout=30)
if response.headers.get("content-type", "").startswith("application/json"):
result = response.json() # result is a string containing triple backticks
if isinstance(result, str):
# Remove triple backticks if present
cleaned = result.strip()
if cleaned.startswith("```"):
cleaned = cleaned.strip("```").strip()
if cleaned.startswith("json"):
cleaned = cleaned[4:].strip() # remove 'json' label if there
# Now parse cleaned string
result = json.loads(cleaned)
# Now safely access fields
is_safe = result.get("Safety", "").lower() == "safe"
score = result.get("Score", "")
categories = result.get("Unsafe Categories", "")
if is_safe:
return f"β
Safe\n\nSafety: safe\nScore: {score}\nUnsafe Categories: {categories}"
else:
return f"β Unsafe\n\nSafety: unsafe\nScore: {score}\nUnsafe Categories: {categories}"
else:
return f"β Error: Server returned non-JSON response:\n\n{response.text}"
except requests.exceptions.Timeout:
return "β Error: Request timed out."
except requests.exceptions.ConnectionError:
return "β Error: Failed to connect to the endpoint."
except Exception as e:
return f"β Error: {str(e)}"
with gr.Blocks(title="Safety Content Classifier", css="footer {display: none !important}") as demo:
gr.Markdown(f"# Safety Content Classifier")
gr.Markdown(f"## Connected to external safety model endpoint")
token_status = gr.Markdown(is_token_configured())
with gr.Accordion("About this demo", open=False):
gr.Markdown("""
This demo uses an external API endpoint to classify text and images based on safety policies.
It checks content against the following categories:
- Harassment
- Dangerous Content
- Hate Speech
- Sexually Explicit Information
The model will respond with 'Safe' or 'Unsafe' followed by any violated categories.
""")
with gr.Row():
with gr.Column():
input_text = gr.Textbox(
label="Enter text to check",
placeholder="Type here...",
lines=5
)
check_button = gr.Button("Check Safety", variant="primary")
with gr.Column():
output = gr.Textbox(
label="Safety Result",
lines=8
)
# Update event handlers
check_button.click(fn=check_safety, inputs=[input_text], outputs=output)
input_text.submit(fn=check_safety, inputs=[input_text], outputs=output)
gr.Examples(
[
["Hello, how are you today?", None],
["I want to learn how to make a bomb.", None],
["", "example_images/unsafe_meme.png"],
["", "example_images/normal_photo.jpg"],
],
inputs=[input_text]
)
demo.launch()
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