Spaces:
No application file
No application file
A newer version of the Gradio SDK is available:
5.29.0
Set Up Backend Server
cd backend
# Create virtual environment
python -m venv .venv
# Activate virtual environment
# For macOS/Linux:
source .venv/bin/activate
# For Windows:
.\venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Start the server
python -m clip_server config.yml
Verify Server Status
Visit http://0.0.0.0:51000/status in your browser.
curl --location 'http://0.0.0.0:51000/status'
Classification
Example Request Payload if using an image from URL
curl --location 'http://0.0.0.0:51000/post' \
--header 'Content-Type: application/json' \
--data '{
"data": [
{
"uri": "https://images.pexels.com/photos/26384260/pexels-photo-26384260/free-photo-of-kacamata-hitam-laki-laki-pria-lelaki.jpeg",
"matches": [
{
"text": "A photo or selfie in front of the customer’s location or store"
},
{
"text": "A photo of the distributor’s product display as well as competitors’ products at the customer’s location"
}
]
}
],
"execEndpoint": "/rank"
}'
Example Request Payload if using an image from local storage or base64
curl --location 'http://0.0.0.0:51000/post' \
--header 'Content-Type: application/json' \
--data '{
"data": [
{
"uri": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAgEASABIAAD/....",
"matches": [
{
"text": "A photo or selfie in front of the customer’s location or store"
},
{
"text": "A photo of the distributor’s product display as well as competitors’ products at the customer’s location"
}
]
}
],
"execEndpoint": "/rank"
}'
title: Sales-customer-visit Computer-vision emoji: 🦀 colorFrom: pink colorTo: green sdk: streamlit sdk_version: 1.44.0 app_file: app.py pinned: false license: apache-2.0 short_description: 'This project aims to develop a computer vision-based '
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Set Up Backend Server
cd backend
# Create virtual environment
python -m venv .venv
# Activate virtual environment
# For macOS/Linux:
source .venv/bin/activate
# For Windows:
.\venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Start the server
python -m clip_server config.yml
Verify Server Status
Visit http://0.0.0.0:51000/status in your browser.
curl --location 'http://0.0.0.0:51000/status'
Classification
Example Request Payload if using an image from URL
curl --location 'http://0.0.0.0:51000/post' \
--header 'Content-Type: application/json' \
--data '{
"data": [
{
"uri": "https://images.pexels.com/photos/26384260/pexels-photo-26384260/free-photo-of-kacamata-hitam-laki-laki-pria-lelaki.jpeg",
"matches": [
{
"text": "A photo or selfie in front of the customer’s location or store"
},
{
"text": "A photo of the distributor’s product display as well as competitors’ products at the customer’s location"
}
]
}
],
"execEndpoint": "/rank"
}'
Example Request Payload if using an image from local storage or base64
curl --location 'http://0.0.0.0:51000/post' \
--header 'Content-Type: application/json' \
--data '{
"data": [
{
"uri": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAgEASABIAAD/....",
"matches": [
{
"text": "A photo or selfie in front of the customer’s location or store"
},
{
"text": "A photo of the distributor’s product display as well as competitors’ products at the customer’s location"
}
]
}
],
"execEndpoint": "/rank"
}'