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Image Recognition
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| bet | 16/182 | | Sana | 19.05.2024 | | Hajmi | 5,69 Mb. | | #244351 |
Bog'liq Python sun\'iy intellekt texnologiyasi Dasrlik 2024Rasa bilan integratsiya:
Rasa-bu ochiq manbali chatbotlarni ishlab chiqish kutubxonasi. Rasa - dan foydalanish uchun Rasa-ni o‘rnatishingiz va konfiguratsiya faylini yaratishingiz kerak. Quyidagi misolda sizda Rasa allaqachon o‘rnatilgan deb taxmin qilinadi:
Config konfiguratsiya faylini yarating.yml:
language: en
pipeline:
- name: WhitespaceTokenizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 100
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
Data/nlu.md o‘quv faylini yaratish:
## intent:greet
- hey
- hello
- hi
## intent:goodbye
- goodbye
- bye
- see you later
Modelni o‘qitish:
rasa train
Chatbotni ishga tushirish:
rasa run
Dialog oqimi bilan integratsiya:
Dialog flow-bu Google-ning bulutga asoslangan chatbot ishlab chiqish platformasi. Dialog flow-da loyiha yaratishingiz va API uchun kalitlarni olishingiz kerak.
Dialog flow kutubxonasini o‘rnatish:
pip install google-cloud-dialogflow
Dialog oqimiga so‘rov yuborish uchun quyidagi koddan foydalanish:
from google.cloud import dialogflow
def detect_intent_text(project_id, session_id, text, language_code):
session_client = dialogflow.SessionsClient()
session = session_client.session_path(project_id, session_id)
text_input = dialogflow.TextInput(text=text, language_code=language_code)
query_input = dialogflow.QueryInput(text=text_input)
response = session_client.detect_intent(
request={"session": session, "query_input": query_input} )
return response.query_result.fulfillment_text
# Foydalanish misoli
project_id = "your-project-id"
session_id = "your-session-id"
text = "Hello, how are you?"
language_code = "en"
response_text = detect_intent_text(project_id, session_id, text, language_code)
print("Bot response:", response_text)
“Sizning loyihangiz-id” va “sizning sessiyangiz-id” ni loyihangiz va sessiyangiz uchun mos qiymatlar bilan almashtirish.
Ushbu ikkala misol shuni ko‘rsatadiki, siz Rasa va Dialogflow hujjatlariga muvofiq kerakli bog’liqliklar va hisoblarni o‘rnatganda.
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