AI-Jarvis


NameAI-Jarvis JSON
Version 0.0.3 PyPI version JSON
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home_page
SummaryAI Jarvis Tools
upload_time2023-01-07 18:35:03
maintainer
docs_urlNone
authorRISHABH-SAHIL (-R-S-)
requires_python
license
keywords ai jarvis tools rishabh tools jarvis tools ai jarvis jarvis 0.2 ai robot tools jarvis rishabh rishabh sahil ml jarvis self learning jarvis
VCS
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requirements No requirements were recorded.
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            # AI_Jarvis

AI_Jarvis_Tool is a machine-learning based conversational dialog engine build in
Python which makes it possible to generate responses based on collections of
known conversations.

## Installation

This package can be installed from [PyPi](https://pypi.org/project/AI-Jarvis/) by running:

```
pip install AI-Jarvis
```

## Create a Chat Data Txt File
```
>> QNA Chat Txt File:- DataBase\\qna_log.txt
>> ChattterBot Txt File:- DataBase\\chat_log.txt
```

## Create a API
[OpenAI API] (https://beta.openai.com/) and create a api txt file
'''
>> API Txt File:- Data\\Api.txt
'''

## QNA Function
```
from AI_Jarvis import QNA
print(QNA.Questions_Answers("What is python?"))
```
## Output
>> **Question:** What is python? 
> 
>> **Answer:**  Python is a programming language.

## ChatBot Function
```
from AI_Jarvis import Brain
print(Brain.ChatBot_Brain("What is your name?"))
```
## Output
>> **You:** What is your name?   
> 
>> **Jarvis:** My name is Jarvis. 

## Speak Function
```
from AI_Jatvis import Speak
Speak.Speak("Hi I Am Rishabh...!!")
```

## Output
>> **Speak** Hi I Am Rishabh...!!
## Hindi And English Speech-Recognition
```
from AI_Jarvis import Listen
while True:
    print(MicExecution())
```
## Output
>> **Listening...**
>
>> **You Speak:**  Hi I am Rishabh.
> 
>> **Recognizing...**                                     
> 
>> **Speech-To-Text:** Hi I am Rishabh.
> 
>> **Listening...**                                        
> 
>> **You Speak:**  हाय मेरा नाम ऋषभ है|
> 
>> **Recognizing...**                            
> 
>> **Speech-To-Text:** Hi, My name is Rishabh.

## Clap Detector
```
from AI_Jarvis import Clap
while True:
    value=Clap.Tester()
    if "True-Mic"==value:
        print("Clap is Detected")
```
## Output
>> Clap is Detected

## Developer Details
>> GitHub:- [@RishabhSahil](https://github.com/RishabhSahil).
> 
>> PyPi:- [@RishabhSahil](https://pypi.org/user/RishabhSahil/).
>
>> Link:- [@RishabhSahil](https://www.linkedin.com/in/rishabhsahil/).
> 
>> Twitter:- [@RishabhSahil](https://twitter.com/_rishabh_sahil_).
>
>> Facebook:- [@RishabhSahil](https://www.facebook.com/Rishabh.Sahil.RS).
>
>> Replit:- [@RishabhSahil](https://replit.com/@Sahilkumar124).
> 
>> YouTube:- [@Digital Technical India](https://www.youtube.com/@digitaltechnicalindia587).

            

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    "description": "# AI_Jarvis\r\n\r\nAI_Jarvis_Tool is a machine-learning based conversational dialog engine build in\r\nPython which makes it possible to generate responses based on collections of\r\nknown conversations.\r\n\r\n## Installation\r\n\r\nThis package can be installed from [PyPi](https://pypi.org/project/AI-Jarvis/) by running:\r\n\r\n```\r\npip install AI-Jarvis\r\n```\r\n\r\n## Create a Chat Data Txt File\r\n```\r\n>> QNA Chat Txt File:- DataBase\\\\qna_log.txt\r\n>> ChattterBot Txt File:- DataBase\\\\chat_log.txt\r\n```\r\n\r\n## Create a API\r\n[OpenAI API] (https://beta.openai.com/) and create a api txt file\r\n'''\r\n>> API Txt File:- Data\\\\Api.txt\r\n'''\r\n\r\n## QNA Function\r\n```\r\nfrom AI_Jarvis import QNA\r\nprint(QNA.Questions_Answers(\"What is python?\"))\r\n```\r\n## Output\r\n>> **Question:** What is python? \r\n> \r\n>> **Answer:**  Python is a programming language.\r\n\r\n## ChatBot Function\r\n```\r\nfrom AI_Jarvis import Brain\r\nprint(Brain.ChatBot_Brain(\"What is your name?\"))\r\n```\r\n## Output\r\n>> **You:** What is your name?   \r\n> \r\n>> **Jarvis:** My name is Jarvis. \r\n\r\n## Speak Function\r\n```\r\nfrom AI_Jatvis import Speak\r\nSpeak.Speak(\"Hi I Am Rishabh...!!\")\r\n```\r\n\r\n## Output\r\n>> **Speak** Hi I Am Rishabh...!!\r\n## Hindi And English Speech-Recognition\r\n```\r\nfrom AI_Jarvis import Listen\r\nwhile True:\r\n    print(MicExecution())\r\n```\r\n## Output\r\n>> **Listening...**\r\n>\r\n>> **You Speak:**  Hi I am Rishabh.\r\n> \r\n>> **Recognizing...**                                     \r\n> \r\n>> **Speech-To-Text:** Hi I am Rishabh.\r\n> \r\n>> **Listening...**                                        \r\n> \r\n>> **You Speak:**  \u00e0\u00a4\u00b9\u00e0\u00a4\u00be\u00e0\u00a4\u00af \u00e0\u00a4\u00ae\u00e0\u00a5\u2021\u00e0\u00a4\u00b0\u00e0\u00a4\u00be \u00e0\u00a4\u00a8\u00e0\u00a4\u00be\u00e0\u00a4\u00ae \u00e0\u00a4\u2039\u00e0\u00a4\u00b7\u00e0\u00a4\u00ad \u00e0\u00a4\u00b9\u00e0\u00a5\u02c6|\r\n> \r\n>> **Recognizing...**                            \r\n> \r\n>> **Speech-To-Text:** Hi, My name is Rishabh.\r\n\r\n## Clap Detector\r\n```\r\nfrom AI_Jarvis import Clap\r\nwhile True:\r\n    value=Clap.Tester()\r\n    if \"True-Mic\"==value:\r\n        print(\"Clap is Detected\")\r\n```\r\n## Output\r\n>> Clap is Detected\r\n\r\n## Developer Details\r\n>> GitHub:- [@RishabhSahil](https://github.com/RishabhSahil).\r\n> \r\n>> PyPi:- [@RishabhSahil](https://pypi.org/user/RishabhSahil/).\r\n>\r\n>> Link:- [@RishabhSahil](https://www.linkedin.com/in/rishabhsahil/).\r\n> \r\n>> Twitter:- [@RishabhSahil](https://twitter.com/_rishabh_sahil_).\r\n>\r\n>> Facebook:- [@RishabhSahil](https://www.facebook.com/Rishabh.Sahil.RS).\r\n>\r\n>> Replit:- [@RishabhSahil](https://replit.com/@Sahilkumar124).\r\n> \r\n>> YouTube:- [@Digital Technical India](https://www.youtube.com/@digitaltechnicalindia587).\r\n",
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