# Main Content

## Posts by Hajer

### [AttributeError: 'coroutine' object has no attribute 'handle_text'](https://forum.rasa.com/t/attributeerror-coroutine-object-has-no-attribute-handle-text/54751/2)  
**Category**: Rasa Open Source  
**Date**: Aug 30, 2022  
Hi everyone, my problem is similar to yours but i have the error message :  
AgentNotReady:

### [Sentiment analysis graph custom component](https://forum.rasa.com/t/sentiment-anlysis-graph-custom-component/50412/3)  
**Category**: Rasa Open Source  
**Date**: Jan 4, 2022  
Thank you very much

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/19)  
**Category**: Rasa Open Source  
**Date**: Dec 21, 2021  
[@nik202](https://forum.rasa.com/u/nik202) thank you, i will replace the code of sentiment.py by the code of new custom action. I think it will be more logical. because now it’s not working about displaying sentiment of text

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/17)  
**Category**: Rasa Open Source  
**Date**: Dec 21, 2021  
Thank you Nik202. I tried to do what you had tell to Fares. I run shell --debug and i have this in my screen :  
021-12-21 16:21:36 DEBUG h5py._conv - Creating converter from 7 to 5
2021-12-21 16:21:36 DEBUG h5py._conv - Creating converter from 5 to 7
2021-12-21 16:21:36 DEBUG h5py._conv -...

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/15)  
**Category**: Rasa Open Source  
**Date**: Dec 21, 2021  
it wasn’t but when i put sentiment.py in action folder, it gives me the same error.

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/13)  
**Category**: Rasa Open Source  
**Date**: Dec 21, 2021  
ImportError: Cannot retrieve class from path sentiment.SentimentIntensityAnalyzer.  
I have this error now :’(
I have a file named sentiment.py when i put a SentimentIntensityAnalyzer class inside. Normally it’s okay no?

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/11)  
**Category**: Rasa Open Source  
**Date**: Dec 16, 2021  
when i run my code, i got this message :  
GraphSchemaValidationException: Your model uses a graph component ‘SentimentAnalyzer’ which does not have the required method ‘provide’. Please make sure you’re either using the right component or that your component is registered with the correct component type.

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/9)  
**Category**: Rasa Open Source  
**Date**: Dec 16, 2021  
did  
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer  
I put the two code in one code. i hope it’s okay now.  
Thank you for your help

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/7)  
**Category**: Rasa Open Source  
**Date**: Dec 16, 2021  
Yes okay  
from __future__ import annotations  
from typing import Dict, Text, Any  
from rasa.engine.graph import GraphComponent, ExecutionContext  
from rasa.engine.storage.resource import Resource  
from rasa.engine.storage.storage import ModelStorage  
# from rasa.models import SentimentIntensityAnalyzer

### [Custom graph component](https://forum.rasa.com/t/custom-graph-component/50054/5)  
**Category**: Rasa Open Source  
**Date**: Dec 16, 2021  
Graph component is here to connect a new node with other components.  
In graphcomponent class, i put : from nltk.sentiment.vader import SentimentIntensityAnalyzer  
In sentiment.py i don’t know how to call SentimentIntensityAnalyzer…  
do i have to put from rasa.models import SentimentIntensityAnalyzer ?...

### [Introducing entity roles and groups](https://forum.rasa.com/t/introducing-entity-roles-and-groups/28156/44)  
**Category**: Release Announcements  
**Date**: Dec 8, 2020  
Hello [@Tanja](https://forum.rasa.com/u/tanja), it’s finally work for me  For now, it’s ok. If i have any problem i will open a new thread about it. Thank you very much

### [Introducing entity roles and groups](https://forum.rasa.com/t/introducing-entity-roles-and-groups/28156/40)  
**Category**: Release Announcements  
**Date**: Dec 4, 2020  
Thank you, i modified my .md files but the NLU doesn’t seem to recognize the group.  
I modified my files like that :  
intent:infos

J’ai acheté 145 [pommes]{"entity": "type_food", "group": "Fruits"}
je veux acheter de la [viande hachée]{"entity": "type_food", "group": "Viande"}

### [Entity extraction regexentityextractor](https://forum.rasa.com/t/entity-extraction-regexentityextractoe/37452/6)  
**Category**: Rasa Open Source  
**Date**: Dec 1, 2020  
Yes i know that. I will try something else … But in my case, RegexFeaturizer don’t seem to help DietClassifier … It is not working at all… I will try something else …
Thank you

### [Entity extraction regexentityextractor](https://forum.rasa.com/t/entity-extraction-regexentityextractoe/37452/4)  
**Category**: Rasa Open Source  
**Date**: Dec 1, 2020  
My pipeline is like that :  
language: "fr"
pipeline:

name: WhitespaceTokenizer
name: RegexFeaturizer
name: RegexEntityExtractor
use_regexes: True
name: LexicalSyntacticFeaturizer
name: CountVectorsFeaturizer
name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
name: DIETClas...

### [Email classification](https://forum.rasa.com/t/email-classification/35917/8)  
**Category**: Rasa Open Source  
**Date**: Oct 23, 2020  
Thank you, i am working on it. It 's already better.  
I am using this one now :  
language: "fr"
pipeline:

name: WhitespaceTokenizer
name: RegexFeaturizer
name: RegexEntityExtractor
use_regexes: True
name: "CRFEntityExtractor"
name: LexicalSyntacticFeaturizer
name: CountVectorsFeaturizer
name: CountVectorsFeaturizer
analyzer: "char_wb"
min_n...

### [Email classification](https://forum.rasa.com/t/email-classification/35917/6)  
**Category**: Rasa Open Source  
**Date**: Oct 20, 2020  
It’s a very simple example, but in a lot of case, the e-mail is much longer than this one

### [Email classification](https://forum.rasa.com/t/email-classification/35917/5)  
**Category**: Rasa Open Source  
**Date**: Oct 20, 2020  
For example :
#####################################################################
Test n° 1 en 650 ms pour “Bonjour, je suis Madame Ludivine, numéro d’adhérent : 1\1256325, je vous met ci-joint mon rib vous pouvez-joindre au : 06 32 14 89 12”:
Intentions trouvées :
modif_RIB (confiance : 0.998...

### [Email classification](https://forum.rasa.com/t/email-classification/35917/3)  
**Category**: Rasa Open Source  
**Date**: Oct 20, 2020  
Hello, i am using french language with this pipeline   
language: "fr"
pipeline:

name: WhitespaceTokenizer
name: RegexFeaturizer
name: "CRFEntityExtractor"
name: LexicalSyntacticFeaturizer
name: EntitySynonymMapper
name: CountVectorsFeaturizer
name: CountVectorsFeaturizer
analyzer: "char_wb"
min_n...