In Week 2: Generative AI Projects, the two Jupyter coding sessions
Cause an error when running the code cell that tries to prompt the LLM.
Z
Its better to post the error screenshot here so that mentor may have an idea about it!
Ok, I avoided that because of the number of error lines it generated, but here its:
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
File /usr/local/lib/python3.9/site-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
173 try:
--> 174 conn = connection.create_connection(
175 (self._dns_host, self.port), self.timeout, **extra_kw
176 )
178 except SocketTimeout:
File /usr/local/lib/python3.9/site-packages/urllib3/util/connection.py:72, in create_connection(address, timeout, source_address, socket_options)
68 return six.raise_from(
69 LocationParseError(u"'%s', label empty or too long" % host), None
70 )
---> 72 for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
73 af, socktype, proto, canonname, sa = res
File /usr/local/lib/python3.9/socket.py:954, in getaddrinfo(host, port, family, type, proto, flags)
953 addrlist = []
--> 954 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
955 af, socktype, proto, canonname, sa = res
gaierror: [Errno -2] Name or service not known
During handling of the above exception, another exception occurred:
NewConnectionError Traceback (most recent call last)
File /usr/local/lib/python3.9/site-packages/urllib3/connectionpool.py:714, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
713 # Make the request on the httplib connection object.
--> 714 httplib_response = self._make_request(
715 conn,
716 method,
717 url,
718 timeout=timeout_obj,
719 body=body,
720 headers=headers,
721 chunked=chunked,
722 )
724 # If we're going to release the connection in ``finally:``, then
725 # the response doesn't need to know about the connection. Otherwise
726 # it will also try to release it and we'll have a double-release
727 # mess.
File /usr/local/lib/python3.9/site-packages/urllib3/connectionpool.py:415, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
414 else:
--> 415 conn.request(method, url, **httplib_request_kw)
417 # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
418 # legitimately able to close the connection after sending a valid response.
419 # With this behaviour, the received response is still readable.
File /usr/local/lib/python3.9/site-packages/urllib3/connection.py:244, in HTTPConnection.request(self, method, url, body, headers)
243 headers["User-Agent"] = _get_default_user_agent()
--> 244 super(HTTPConnection, self).request(method, url, body=body, headers=headers)
File /usr/local/lib/python3.9/http/client.py:1285, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
1284 """Send a complete request to the server."""
-> 1285 self._send_request(method, url, body, headers, encode_chunked)
File /usr/local/lib/python3.9/http/client.py:1331, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
1330 body = _encode(body, 'body')
-> 1331 self.endheaders(body, encode_chunked=encode_chunked)
File /usr/local/lib/python3.9/http/client.py:1280, in HTTPConnection.endheaders(self, message_body, encode_chunked)
1279 raise CannotSendHeader()
-> 1280 self._send_output(message_body, encode_chunked=encode_chunked)
File /usr/local/lib/python3.9/http/client.py:1040, in HTTPConnection._send_output(self, message_body, encode_chunked)
1039 del self._buffer[:]
-> 1040 self.send(msg)
1042 if message_body is not None:
1043
1044 # create a consistent interface to message_body
File /usr/local/lib/python3.9/http/client.py:980, in HTTPConnection.send(self, data)
979 if self.auto_open:
--> 980 self.connect()
981 else:
File /usr/local/lib/python3.9/site-packages/urllib3/connection.py:205, in HTTPConnection.connect(self)
204 def connect(self):
--> 205 conn = self._new_conn()
206 self._prepare_conn(conn)
File /usr/local/lib/python3.9/site-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
185 except SocketError as e:
--> 186 raise NewConnectionError(
187 self, "Failed to establish a new connection: %s" % e
188 )
190 return conn
NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7f741c324040>: Failed to establish a new connection: [Errno -2] Name or service not known
During handling of the above exception, another exception occurred:
MaxRetryError Traceback (most recent call last)
File /usr/local/lib/python3.9/site-packages/requests/adapters.py:489, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
488 if not chunked:
--> 489 resp = conn.urlopen(
490 method=request.method,
491 url=url,
492 body=request.body,
493 headers=request.headers,
494 redirect=False,
495 assert_same_host=False,
496 preload_content=False,
497 decode_content=False,
498 retries=self.max_retries,
499 timeout=timeout,
500 )
502 # Send the request.
503 else:
File /usr/local/lib/python3.9/site-packages/urllib3/connectionpool.py:798, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
796 e = ProtocolError("Connection aborted.", e)
--> 798 retries = retries.increment(
799 method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
800 )
801 retries.sleep()
File /usr/local/lib/python3.9/site-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
591 if new_retry.is_exhausted():
--> 592 raise MaxRetryError(_pool, url, error or ResponseError(cause))
594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
MaxRetryError: HTTPConnectionPool(host='jupyter-api-proxy.stg.internal.dlai', port=80): Max retries exceeded with url: /rev-proxy/gen_ai_for_everyone/chat/completions (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f741c324040>: Failed to establish a new connection: [Errno -2] Name or service not known'))
During handling of the above exception, another exception occurred:
ConnectionError Traceback (most recent call last)
File /usr/local/lib/python3.9/site-packages/openai/api_requestor.py:516, in APIRequestor.request_raw(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)
515 try:
--> 516 result = _thread_context.session.request(
517 method,
518 abs_url,
519 headers=headers,
520 data=data,
521 files=files,
522 stream=stream,
523 timeout=request_timeout if request_timeout else TIMEOUT_SECS,
524 )
525 except requests.exceptions.Timeout as e:
File /usr/local/lib/python3.9/site-packages/requests/sessions.py:587, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
586 send_kwargs.update(settings)
--> 587 resp = self.send(prep, **send_kwargs)
589 return resp
File /usr/local/lib/python3.9/site-packages/requests/sessions.py:701, in Session.send(self, request, **kwargs)
700 # Send the request
--> 701 r = adapter.send(request, **kwargs)
703 # Total elapsed time of the request (approximately)
File /usr/local/lib/python3.9/site-packages/requests/adapters.py:565, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
563 raise SSLError(e, request=request)
--> 565 raise ConnectionError(e, request=request)
567 except ClosedPoolError as e:
ConnectionError: HTTPConnectionPool(host='jupyter-api-proxy.stg.internal.dlai', port=80): Max retries exceeded with url: /rev-proxy/gen_ai_for_everyone/chat/completions (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f741c324040>: Failed to establish a new connection: [Errno -2] Name or service not known'))
The above exception was the direct cause of the following exception:
APIConnectionError Traceback (most recent call last)
Cell In[2], line 9
1 prompt = '''
2 Classify the following review
3 as having either a positive or
(...)
6 The banana pudding was really tasty!
7 '''
----> 9 response = llm_response(prompt)
10 print(response)
Cell In[1], line 7, in llm_response(prompt)
6 def llm_response(prompt):
----> 7 response = openai.ChatCompletion.create(
8 model='gpt-3.5-turbo',
9 messages=[{'role':'user','content':prompt}],
10 temperature=0
11 )
12 return response.choices[0].message['content']
File /usr/local/lib/python3.9/site-packages/openai/api_resources/chat_completion.py:25, in ChatCompletion.create(cls, *args, **kwargs)
23 while True:
24 try:
---> 25 return super().create(*args, **kwargs)
26 except TryAgain as e:
27 if timeout is not None and time.time() > start + timeout:
File /usr/local/lib/python3.9/site-packages/openai/api_resources/abstract/engine_api_resource.py:153, in EngineAPIResource.create(cls, api_key, api_base, api_type, request_id, api_version, organization, **params)
127 @classmethod
128 def create(
129 cls,
(...)
136 **params,
137 ):
138 (
139 deployment_id,
140 engine,
(...)
150 api_key, api_base, api_type, api_version, organization, **params
151 )
--> 153 response, _, api_key = requestor.request(
154 "post",
155 url,
156 params=params,
157 headers=headers,
158 stream=stream,
159 request_id=request_id,
160 request_timeout=request_timeout,
161 )
163 if stream:
164 # must be an iterator
165 assert not isinstance(response, OpenAIResponse)
File /usr/local/lib/python3.9/site-packages/openai/api_requestor.py:216, in APIRequestor.request(self, method, url, params, headers, files, stream, request_id, request_timeout)
205 def request(
206 self,
207 method,
(...)
214 request_timeout: Optional[Union[float, Tuple[float, float]]] = None,
215 ) -> Tuple[Union[OpenAIResponse, Iterator[OpenAIResponse]], bool, str]:
--> 216 result = self.request_raw(
217 method.lower(),
218 url,
219 params=params,
220 supplied_headers=headers,
221 files=files,
222 stream=stream,
223 request_id=request_id,
224 request_timeout=request_timeout,
225 )
226 resp, got_stream = self._interpret_response(result, stream)
227 return resp, got_stream, self.api_key
File /usr/local/lib/python3.9/site-packages/openai/api_requestor.py:528, in APIRequestor.request_raw(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)
526 raise error.Timeout("Request timed out: {}".format(e)) from e
527 except requests.exceptions.RequestException as e:
--> 528 raise error.APIConnectionError(
529 "Error communicating with OpenAI: {}".format(e)
530 ) from e
531 util.log_debug(
532 "OpenAI API response",
533 path=abs_url,
(...)
536 request_id=result.headers.get("X-Request-Id"),
537 )
538 # Don't read the whole stream for debug logging unless necessary.
APIConnectionError: Error communicating with OpenAI: HTTPConnectionPool(host='jupyter-api-proxy.stg.internal.dlai', port=80): Max retries exceeded with url: /rev-proxy/gen_ai_for_everyone/chat/completions (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f741c324040>: Failed to establish a new connection: [Errno -2] Name or service not known'))
Hi, and thank you for reporting. This might have been just a glitch. The labs are running fine on my end. Can you try again? On another note, do you see the video playing on the right side by default?
Sorry I see the errors now. I was trying a different approach earlier. Will raise this to the team.
I am facing the same issue
Hi, and thank you for following up. I’m sorry for the experience. The team has acknowledged the issue last week. Will follow up as well but it might take till tomorrow to resolve because it’s the weekend.
I took the opportunity to create my own Jupyter environment (using Anaconda), download the juypter notebook (.ipynb files) from the course and run them locally. You will need an OpenAI API key though, but doesn’t cost much ($5), which goes a long way … jump ahead to lessons to the Week 2 Cost Intuition lesson.
If you can do it you should try … you will have to do it eventually
Z
Hi everyone! Sorry for the delay. The notebooks should now be fixed. I just tried it and all cells now run. Thank you again for reporting!