Hi @Mindaugas !!! Welcome to our community!
Nice catch!
I figured that that service will require the Content Type.
so this will work:
curl localhost:9090/vectorize -d '{"texts": ["hello"], "images":[]}' --header 'Content-Type: application/json'
Note: this is considering the model is exposed in 9090, by adding the port mapping:
multi2vec-clip: # Set the name of the inference container
ports:
- 9090:8080
image: cr.weaviate.io/semitechnologies/multi2vec-clip:sentence-transformers-clip-ViT-B-32-multilingual-v1
environment:
ENABLE_CUDA: 0 # set to 1 to enable
I had changed the docs:
weaviate:main ← weaviate:add-content-type-header-to-multi2vec-clip-curl-example
opened 06:53PM - 14 Jun 24 UTC
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### What's being changed:
fixing curl example, from discussion:
https://forum.weaviate.io/t/curl-localhost-8080-vectorize-doesnt-work/2707
### Type of change:
- [x] **Documentation** updates (non-breaking change to fix/update documentation)
- [ ] **Website** updates (non-breaking change to update main page, company pages, pricing, etc)
- [ ] **Content** updates – **blog**, **podcast** (non-breaking change to add/update content)
- [ ] **Bug fix** (non-breaking change to fixes an issue with the site)
- [ ] **Feature** or **enhancements** (non-breaking change to add functionality)
### How Has This Been Tested?
- [ ] **Github action** – automated build completed without errors
- [ ] **Local build** - the site works as expected when running `yarn start`
> note, you can run `yarn verify-links` to test site links locally
Also, a nice place to check for our inference models tests is here:
import unittest
import requests
import time
class SmokeTest(unittest.TestCase):
def setUp(self):
self.url = 'http://localhost:8000'
for i in range(0, 100):
try:
res = requests.get(self.url + '/.well-known/ready')
if res.status_code == 204:
return
else:
raise Exception(
"status code is {}".format(res.status_code))
except Exception as e:
print("Attempt {}: {}".format(i, e))
time.sleep(1)
show original
Let me know if this helps
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