diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-25 13:52:25 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-25 13:52:25 +0000 |
| commit | 3bc505659028415b9141e4ca5966a4bfdeaf36ad (patch) | |
| tree | c315f444993a7255557b2c0a7da84139341b3289 | |
| parent | cd70c389c87edb76128886c7bf14c13a87631f63 (diff) | |
automatic import of python-jarvisaiopeneuler20.03
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-jarvisai.spec | 353 | ||||
| -rw-r--r-- | sources | 2 |
3 files changed, 282 insertions, 74 deletions
@@ -1 +1,2 @@ /JarvisAI-4.7.tar.gz +/JarvisAI-4.8.tar.gz diff --git a/python-jarvisai.spec b/python-jarvisai.spec index 6afc93e..f69cc87 100644 --- a/python-jarvisai.spec +++ b/python-jarvisai.spec @@ -1,11 +1,11 @@ %global _empty_manifest_terminate_build 0 Name: python-JarvisAI -Version: 4.7 +Version: 4.8 Release: 1 Summary: JarvisAI is python library to build your own AI virtual assistant with natural language processing. License: MIT License URL: https://github.com/Dipeshpal/Jarvis_AI -Source0: https://mirrors.nju.edu.cn/pypi/web/packages/28/da/805fc2b6451da8d036783b9fe7f419d25ef1128912df16c9495cf2df0a2f/JarvisAI-4.7.tar.gz +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a6/11/49c0954223feb2e055f4e3ba92045a5c1e6cb8d0d191e6e0dae55fb98dc5/JarvisAI-4.8.tar.gz BuildArch: noarch Requires: python3-numpy @@ -80,6 +80,11 @@ What is our premium plan? ## YouTube Tutorial-
Click on the image below to watch the tutorial on YouTube-
+
+**Tutorial Latest-**
+
+[](https://www.youtube.com/watch?v=hPE-kdRmYf8)
+
**Tutorial 1-**
@@ -160,22 +165,23 @@ The JarvisAI’s architecture is divided into two parts. You need only this piece of code-
- def custom_function(*args, **kwargs):
+ import JarvisAI
+
+ def custom_function(*args, **kwargs):
command = kwargs.get('query')
entities = kwargs.get('entities')
print(entities)
# write your code here to do something with the command
# perform some tasks # return is optional
return command + ' Executed'
-
-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
- # add_action("general", custom_function) # OPTIONAL
- jarvis.start()
-
+
+
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
+ JarvisAI.add_action('custom_function', custom_function)
+ jarvis.start()
### 4.3. **What's now?**
@@ -184,10 +190,28 @@ The JarvisAI’s architecture is divided into two parts. You can configure `input_mechanism` and `output_mechanism` parameter for voice input/output or text input/output.
### 4.4. Let's understand the Parameters-
+
+For text input-
+
+ input_mechanism='text'
+
+For voice input-
+
+ input_mechanism='voice'
+
+For text output-
+
+ output_mechanism='text'
+
+For voice output-
+
+ output_mechanism='voice'
+
+For voice and text output-
+
+ output_mechanism='both'
- ```bash :param input_method: (object) method to get input from user <allowed values: [InputsMethods.text_input, InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming]> :param output_method: (object) method to give output to user <allowed values: [OutputMethods.text_output, OutputMethods.voice_output] :param backend_tts_api: (str) [Default 'pyttsx3'] backend tts api to use <allowed values: ['pyttsx3', 'gtts']> :param api_key: (str) [Default ''] api key to use JarvisAI get it from http://jarvis-ai-api.herokuapp.com :param detect_wake_word: (bool) [Default True] detect wake word or not <allowed values: [True, False]> :param wake_word_detection_method: (object) [Default None] method to detect wake word <allowed values: [InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming] :param bot_name: (str) [Default 'Jarvis'] name of the bot :param display_intent: (bool) [Default True] display intent or not <allowed values: [True, False]> :param google_speech_recognition_input_lang: (str) [Default 'en'] language of the input Check supported languages here: https://cloud.google.com/speech-to-text/docs/languages :param google_speech_recognition_key: (str) [Default None] api key to use Google Speech API :param google_speech_recognition_duration_listening: (int) [Default 5] duration of the listening
- READ MORE: Google Speech API (Pricing and Key) at: https://cloud.google.com/speech-to-text
-```
+
## 5. What it can do (Features it supports)-
1. Currently, it supports only english language
@@ -233,10 +257,10 @@ These are below supported intent that AI can handle, you can ask in natural lang You can set below parameter while creating object of JarvisAI-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
1. **For text input-**'
@@ -252,7 +276,7 @@ You can set below parameter while creating object of JarvisAI- 4. **For voice output-**
- output_mechanism='text'
+ output_mechanism='voice'
5. **For voice and text output-**
@@ -262,10 +286,54 @@ You can set below parameter while creating object of JarvisAI- **WIP**
**You tell me**
- at dipeshpal17@gmail.com or my social media.
+ at info@jarvisai.in or my www.dipeshpal.in/social
## 7. Contribute-
- **Instructions Coming Soon**
+
+ 1. Clone this repo.
+ 2. Create your file in JarvisAI/JarvisAI/features/<your_file.py>
+ 3. Write entry function like this-
+
+
+ def some_func(*args, **kwargs):
+ query = kwargs.get("query")
+ entities = kwargs.get("entities")
+ li = ['EVENT', 'FAC', 'GPE', 'LANGUAGE', 'LAW', 'LOC', 'MONEY', 'NORP', 'ORDINAL', 'ORG',
+ 'PERCENT', 'PERSON', 'PRODUCT', 'TIME', 'WORK_OF_ART']
+ topic = [entity[0] for entity in entities if entity[1] in li][0]
+ return "This Code Done"
+
+ - query is the text that is recognized by your microphone
+
+ - entities Named Entity Recognition is a technique of natural language processing that is used for the categorization of the data
+
+ - Example-
+
+ query: who is Narendra Modi
+
+ entities: [('Narendra Modi', 'PERSON')]
+
+ topic: Narendra Modi
+
+ So, now you got the topic from query and now you can play with the topic.
+
+ 4. Your function can return someting text or perform something. Return text will be automatically print / spoken by your system.
+ 5. In JarvisAI/JarvisAI/features_manager.py , import and add your function like this
+
+ try:
+ from features.your_file import some_func
+ except Exception as e:
+ from .features.your_file import some_func
+
+ action_map = {
+ .....
+ ....
+ 'your_intent': some_func
+ }
+
+ 6. That's it now raise pull request. I'll verify your code. If working, ethical and all terms are followed, I'll approve.
+ 7. You will become contributer.
+
## 8. Contact me-
- [Instagram](https://www.instagram.com/dipesh_pal17)
@@ -277,7 +345,8 @@ You can set below parameter while creating object of JarvisAI- Consider donating to JarvisAI to support our mission of keeping our servers running 24/7. Your contribution will enable us to continue doing great things and providing valuable services. Every little bit helps!
-[Click Here to support](https://www.instamojo.com/@techport/?ref=preview)
+
+[Click Here to support](https://www.instamojo.com/@techport/)
**_Feel free to use my code, don't forget to mention credit. All the contributors will get credits in this repo._**
**_Mention below line for credits-_**
@@ -288,11 +357,11 @@ Consider donating to JarvisAI to support our mission of keeping our servers runn - [https://www.youtube.com/dipeshpal17](https://www.youtube.com/dipeshpal17)
-- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
## 10. Thank me on-
- - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+ - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
- Subscribe me on YouTube: [https://www.youtube.com/dipeshpal17](https://www.youtube.com/dipeshpal17)
@@ -350,6 +419,11 @@ What is our premium plan? ## YouTube Tutorial-
Click on the image below to watch the tutorial on YouTube-
+
+**Tutorial Latest-**
+
+[](https://www.youtube.com/watch?v=hPE-kdRmYf8)
+
**Tutorial 1-**
@@ -430,22 +504,23 @@ The JarvisAI’s architecture is divided into two parts. You need only this piece of code-
- def custom_function(*args, **kwargs):
+ import JarvisAI
+
+ def custom_function(*args, **kwargs):
command = kwargs.get('query')
entities = kwargs.get('entities')
print(entities)
# write your code here to do something with the command
# perform some tasks # return is optional
return command + ' Executed'
-
-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
- # add_action("general", custom_function) # OPTIONAL
- jarvis.start()
-
+
+
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
+ JarvisAI.add_action('custom_function', custom_function)
+ jarvis.start()
### 4.3. **What's now?**
@@ -454,10 +529,28 @@ The JarvisAI’s architecture is divided into two parts. You can configure `input_mechanism` and `output_mechanism` parameter for voice input/output or text input/output.
### 4.4. Let's understand the Parameters-
+
+For text input-
+
+ input_mechanism='text'
+
+For voice input-
+
+ input_mechanism='voice'
+
+For text output-
+
+ output_mechanism='text'
+
+For voice output-
+
+ output_mechanism='voice'
+
+For voice and text output-
+
+ output_mechanism='both'
- ```bash :param input_method: (object) method to get input from user <allowed values: [InputsMethods.text_input, InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming]> :param output_method: (object) method to give output to user <allowed values: [OutputMethods.text_output, OutputMethods.voice_output] :param backend_tts_api: (str) [Default 'pyttsx3'] backend tts api to use <allowed values: ['pyttsx3', 'gtts']> :param api_key: (str) [Default ''] api key to use JarvisAI get it from http://jarvis-ai-api.herokuapp.com :param detect_wake_word: (bool) [Default True] detect wake word or not <allowed values: [True, False]> :param wake_word_detection_method: (object) [Default None] method to detect wake word <allowed values: [InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming] :param bot_name: (str) [Default 'Jarvis'] name of the bot :param display_intent: (bool) [Default True] display intent or not <allowed values: [True, False]> :param google_speech_recognition_input_lang: (str) [Default 'en'] language of the input Check supported languages here: https://cloud.google.com/speech-to-text/docs/languages :param google_speech_recognition_key: (str) [Default None] api key to use Google Speech API :param google_speech_recognition_duration_listening: (int) [Default 5] duration of the listening
- READ MORE: Google Speech API (Pricing and Key) at: https://cloud.google.com/speech-to-text
-```
+
## 5. What it can do (Features it supports)-
1. Currently, it supports only english language
@@ -503,10 +596,10 @@ These are below supported intent that AI can handle, you can ask in natural lang You can set below parameter while creating object of JarvisAI-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
1. **For text input-**'
@@ -522,7 +615,7 @@ You can set below parameter while creating object of JarvisAI- 4. **For voice output-**
- output_mechanism='text'
+ output_mechanism='voice'
5. **For voice and text output-**
@@ -532,10 +625,54 @@ You can set below parameter while creating object of JarvisAI- **WIP**
**You tell me**
- at dipeshpal17@gmail.com or my social media.
+ at info@jarvisai.in or my www.dipeshpal.in/social
## 7. Contribute-
- **Instructions Coming Soon**
+
+ 1. Clone this repo.
+ 2. Create your file in JarvisAI/JarvisAI/features/<your_file.py>
+ 3. Write entry function like this-
+
+
+ def some_func(*args, **kwargs):
+ query = kwargs.get("query")
+ entities = kwargs.get("entities")
+ li = ['EVENT', 'FAC', 'GPE', 'LANGUAGE', 'LAW', 'LOC', 'MONEY', 'NORP', 'ORDINAL', 'ORG',
+ 'PERCENT', 'PERSON', 'PRODUCT', 'TIME', 'WORK_OF_ART']
+ topic = [entity[0] for entity in entities if entity[1] in li][0]
+ return "This Code Done"
+
+ - query is the text that is recognized by your microphone
+
+ - entities Named Entity Recognition is a technique of natural language processing that is used for the categorization of the data
+
+ - Example-
+
+ query: who is Narendra Modi
+
+ entities: [('Narendra Modi', 'PERSON')]
+
+ topic: Narendra Modi
+
+ So, now you got the topic from query and now you can play with the topic.
+
+ 4. Your function can return someting text or perform something. Return text will be automatically print / spoken by your system.
+ 5. In JarvisAI/JarvisAI/features_manager.py , import and add your function like this
+
+ try:
+ from features.your_file import some_func
+ except Exception as e:
+ from .features.your_file import some_func
+
+ action_map = {
+ .....
+ ....
+ 'your_intent': some_func
+ }
+
+ 6. That's it now raise pull request. I'll verify your code. If working, ethical and all terms are followed, I'll approve.
+ 7. You will become contributer.
+
## 8. Contact me-
- [Instagram](https://www.instagram.com/dipesh_pal17)
@@ -547,7 +684,8 @@ You can set below parameter while creating object of JarvisAI- Consider donating to JarvisAI to support our mission of keeping our servers running 24/7. Your contribution will enable us to continue doing great things and providing valuable services. Every little bit helps!
-[Click Here to support](https://www.instamojo.com/@techport/?ref=preview)
+
+[Click Here to support](https://www.instamojo.com/@techport/)
**_Feel free to use my code, don't forget to mention credit. All the contributors will get credits in this repo._**
**_Mention below line for credits-_**
@@ -558,11 +696,11 @@ Consider donating to JarvisAI to support our mission of keeping our servers runn - [https://www.youtube.com/dipeshpal17](https://www.youtube.com/dipeshpal17)
-- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
## 10. Thank me on-
- - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+ - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
- Subscribe me on YouTube: [https://www.youtube.com/dipeshpal17](https://www.youtube.com/dipeshpal17)
@@ -617,6 +755,11 @@ What is our premium plan? ## YouTube Tutorial-
Click on the image below to watch the tutorial on YouTube-
+
+**Tutorial Latest-**
+
+[](https://www.youtube.com/watch?v=hPE-kdRmYf8)
+
**Tutorial 1-**
@@ -697,22 +840,23 @@ The JarvisAI’s architecture is divided into two parts. You need only this piece of code-
- def custom_function(*args, **kwargs):
+ import JarvisAI
+
+ def custom_function(*args, **kwargs):
command = kwargs.get('query')
entities = kwargs.get('entities')
print(entities)
# write your code here to do something with the command
# perform some tasks # return is optional
return command + ' Executed'
-
-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
- # add_action("general", custom_function) # OPTIONAL
- jarvis.start()
-
+
+
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
+ JarvisAI.add_action('custom_function', custom_function)
+ jarvis.start()
### 4.3. **What's now?**
@@ -721,10 +865,28 @@ The JarvisAI’s architecture is divided into two parts. You can configure `input_mechanism` and `output_mechanism` parameter for voice input/output or text input/output.
### 4.4. Let's understand the Parameters-
+
+For text input-
+
+ input_mechanism='text'
+
+For voice input-
+
+ input_mechanism='voice'
+
+For text output-
+
+ output_mechanism='text'
+
+For voice output-
+
+ output_mechanism='voice'
+
+For voice and text output-
+
+ output_mechanism='both'
- ```bash :param input_method: (object) method to get input from user <allowed values: [InputsMethods.text_input, InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming]> :param output_method: (object) method to give output to user <allowed values: [OutputMethods.text_output, OutputMethods.voice_output] :param backend_tts_api: (str) [Default 'pyttsx3'] backend tts api to use <allowed values: ['pyttsx3', 'gtts']> :param api_key: (str) [Default ''] api key to use JarvisAI get it from http://jarvis-ai-api.herokuapp.com :param detect_wake_word: (bool) [Default True] detect wake word or not <allowed values: [True, False]> :param wake_word_detection_method: (object) [Default None] method to detect wake word <allowed values: [InputsMethods.voice_input_google_api, InputsMethods.voice_input_deepspeech_streaming] :param bot_name: (str) [Default 'Jarvis'] name of the bot :param display_intent: (bool) [Default True] display intent or not <allowed values: [True, False]> :param google_speech_recognition_input_lang: (str) [Default 'en'] language of the input Check supported languages here: https://cloud.google.com/speech-to-text/docs/languages :param google_speech_recognition_key: (str) [Default None] api key to use Google Speech API :param google_speech_recognition_duration_listening: (int) [Default 5] duration of the listening
- READ MORE: Google Speech API (Pricing and Key) at: https://cloud.google.com/speech-to-text
-```
+
## 5. What it can do (Features it supports)-
1. Currently, it supports only english language
@@ -770,10 +932,10 @@ These are below supported intent that AI can handle, you can ask in natural lang You can set below parameter while creating object of JarvisAI-
- jarvis = JarvisAI.Jarvis(input_mechanism='voice', output_mechanism='both',
- google_speech_api_key=None, backend_tts_api='pyttsx3',
- use_whisper_asr=False, display_logs=False,
- api_key='527557f2-0b67-4500-8ca0-03766ade589a')
+ jarvis = JarvisAI.JarvisAI(input_mechanism='text', output_mechanism='text',
+ google_speech_api_key=None, backend_tts_api='pyttsx3',
+ use_whisper_asr=False, display_logs=False,
+ api_key='99f605ce-5bf9-4e80-93a3-f367df65aa27')
1. **For text input-**'
@@ -789,7 +951,7 @@ You can set below parameter while creating object of JarvisAI- 4. **For voice output-**
- output_mechanism='text'
+ output_mechanism='voice'
5. **For voice and text output-**
@@ -799,10 +961,54 @@ You can set below parameter while creating object of JarvisAI- **WIP**
**You tell me**
- at dipeshpal17@gmail.com or my social media.
+ at info@jarvisai.in or my www.dipeshpal.in/social
## 7. Contribute-
- **Instructions Coming Soon**
+
+ 1. Clone this repo.
+ 2. Create your file in JarvisAI/JarvisAI/features/<your_file.py>
+ 3. Write entry function like this-
+
+
+ def some_func(*args, **kwargs):
+ query = kwargs.get("query")
+ entities = kwargs.get("entities")
+ li = ['EVENT', 'FAC', 'GPE', 'LANGUAGE', 'LAW', 'LOC', 'MONEY', 'NORP', 'ORDINAL', 'ORG',
+ 'PERCENT', 'PERSON', 'PRODUCT', 'TIME', 'WORK_OF_ART']
+ topic = [entity[0] for entity in entities if entity[1] in li][0]
+ return "This Code Done"
+
+ - query is the text that is recognized by your microphone
+
+ - entities Named Entity Recognition is a technique of natural language processing that is used for the categorization of the data
+
+ - Example-
+
+ query: who is Narendra Modi
+
+ entities: [('Narendra Modi', 'PERSON')]
+
+ topic: Narendra Modi
+
+ So, now you got the topic from query and now you can play with the topic.
+
+ 4. Your function can return someting text or perform something. Return text will be automatically print / spoken by your system.
+ 5. In JarvisAI/JarvisAI/features_manager.py , import and add your function like this
+
+ try:
+ from features.your_file import some_func
+ except Exception as e:
+ from .features.your_file import some_func
+
+ action_map = {
+ .....
+ ....
+ 'your_intent': some_func
+ }
+
+ 6. That's it now raise pull request. I'll verify your code. If working, ethical and all terms are followed, I'll approve.
+ 7. You will become contributer.
+
## 8. Contact me-
- [Instagram](https://www.instagram.com/dipesh_pal17)
@@ -814,7 +1020,8 @@ You can set below parameter while creating object of JarvisAI- Consider donating to JarvisAI to support our mission of keeping our servers running 24/7. Your contribution will enable us to continue doing great things and providing valuable services. Every little bit helps!
-[Click Here to support](https://www.instamojo.com/@techport/?ref=preview)
+
+[Click Here to support](https://www.instamojo.com/@techport/)
**_Feel free to use my code, don't forget to mention credit. All the contributors will get credits in this repo._**
**_Mention below line for credits-_**
@@ -825,11 +1032,11 @@ Consider donating to JarvisAI to support our mission of keeping our servers runn - [https://www.youtube.com/dipeshpal17](https://www.youtube.com/dipeshpal17)
-- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+- [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
## 10. Thank me on-
- - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/dipesh_pal17/)
+ - Follow me on Instagram: [https://www.instagram.com/dipesh_pal17](https://www.instagram.com/_dipeshpal_)
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@@ -840,7 +1047,7 @@ Consider donating to JarvisAI to support our mission of keeping our servers runn %prep -%autosetup -n JarvisAI-4.7 +%autosetup -n JarvisAI-4.8 %build %py3_build @@ -880,5 +1087,5 @@ mv %{buildroot}/doclist.lst . %{_docdir}/* %changelog -* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 4.7-1 +* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 4.8-1 - Package Spec generated @@ -1 +1 @@ -8cdba499dcfd71f611445fe29b469b7b JarvisAI-4.7.tar.gz +c4ee580b662623335ecd7ada369c796a JarvisAI-4.8.tar.gz |