| Name | scalify JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | A lightweight AI engineering toolkit for building natural language interfaces that are reliable, scalable, and easy to trust. |
| upload_time | 2024-06-24 01:35:57 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS |
| keywords |
ai
chatbot
llm
nlp
natural language processing
|
| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# Scalify AI - The AI engineering toolkit
[](https://badge.fury.io/py/scalify)
[](https://twitter.com/khulnasoft)
Scalify is a lightweight AI toolkit for building natural language interfaces that are reliable, scalable, and easy to trust.
Each of Scalify's tools is simple and self-documenting, using AI to solve common but complex challenges like entity extraction, classification, and generating synthetic data. Each tool is independent and incrementally adoptable, so you can use them on their own or in combination with any other library. Scalify is also multi-modal, supporting both image and audio generation as well using images as inputs for extraction and classification.
Scalify is for developers who care more about _using_ AI than _building_ AI, and we are focused on creating an exceptional developer experience. Scalify users should feel empowered to bring tightly-scoped "AI magic" into any traditional software project with just a few extra lines of code.
Scalify aims to merge the best practices for building dependable, observable software with the best practices for building with generative AI into a single, easy-to-use library. It's a serious tool, but we hope you have fun with it.
Scalify is open-source, free to use, and made with ❤️ by the team at [KhulnaSoft, Ltd](https://www.khulnasoft.com/).
## Installation
Install the latest version with `pip`:
```bash
pip install scalify -U
```
To verify your installation, run `scalify version` in your terminal.
## Tools
Scalify consists of a variety of useful tools, all designed to be used independently. Each one represents a common LLM use case, and packages that power into a simple, self-documenting interface.
# Quickstart
Here's a whirlwind tour of a few of Scalify's main features. For more information, [check the docs](https://scalify.khulnasoft.com/welcome/what_is_scalify/)!
## 🏷️ Classify text
Scalify can `classify` text using a set of labels:
```python
import scalify
scalify.classify(
"Scalify is so easy to use!",
labels=["positive", "negative"],
)
# "positive"
```
Learn more about classification [here](https://scalify.khulnasoft.com/docs/text/classification).
## 🔍 Extract structured entities
Scalify can `extract` structured entities from text:
```python
import pydantic
class Location(pydantic.BaseModel):
city: str
state: str
scalify.extract("I moved from NY to CHI", target=Location)
# [
# Location(city="Dhaka", state="Dhaka"),
# Location(city="Khulna", state="Khulna")
# ]
```
Almost all Scalify functions can be given `instructions` for more control. Here we extract only monetary values:
```python
scalify.extract(
"I paid $10 for 3 tacos and got a dollar and 25 cents back.",
target=float,
instructions="Only extract money"
)
# [10.0, 1.25]
```
Learn more about entity extraction [here](https://scalify.khulnasoft.com/docs/text/extraction).
## ✨ Generate data
Scalify can `generate` synthetic data for you, following instructions and an optional schema:
```python
class Location(pydantic.BaseModel):
city: str
state: str
scalify.generate(
n=4,
target=Location,
instructions="cities in the United States named after presidents"
)
# [
# Location(city='Washington', state='District of Columbia'),
# Location(city='Jackson', state='Mississippi'),
# Location(city='Cleveland', state='Ohio'),
# Location(city='Lincoln', state='Nebraska'),
# ]
```
Learn more about data generation [here](https://scalify.khulnasoft.com/docs/text/generation).
## 🪄 Standardize text by casting to types
Scalify can `cast` arbitrary text to any Python type:
```python
scalify.cast("one two three", list[int])
# [1, 2, 3]
```
This is useful for standardizing text inputs or matching natural language to a schema:
```python
class Location(pydantic.BaseModel):
city: str
state: str
scalify.cast("The Big Apple", Location)
# Location(city="New York", state="New York")
```
For a class-based approach, Scalify's `@model` decorator can be applied to any Pydantic model to let it be instantiated from text:
```python
@scalify.model
class Location(pydantic.BaseModel):
city: str
state: str
Location("The Big Apple")
# Location(city="New York", state="New York")
```
Learn more about casting to types [here](https://scalify.khulnasoft.com/docs/text/transformation).
## 🦾 Build AI-powered functions
Scalify functions let you combine any inputs, instructions, and output types to create custom AI-powered behaviors... without source code. These functions can can go well beyond the capabilities of `extract` or `classify`, and are ideal for complex natural language processing or mapping combinations of inputs to outputs.
```python
@scalify.fn
def sentiment(text: str) -> float:
"""
Returns a sentiment score for `text`
between -1 (negative) and 1 (positive).
"""
sentiment("I love working with Scalify!") # 0.8
sentiment("These examples could use some work...") # -0.2
```
Scalify functions look exactly like regular Python functions, except that you don't have to write any source code. When these functions are called, an AI interprets their description and inputs and generates the output.
Note that Scalify does NOT work by generating or executing source code, which would be unsafe for most use cases. Instead, it uses the LLM itself as a "runtime" to predict function outputs. That's actually the source of its power: Scalify functions can handle complex use cases that would be difficult or impossible to express as code.
You can learn more about functions [here](https://www.scalify.khulnasoft.com/docs/text/functions/).
## 🖼️ Generate images from text
Scalify can `paint` images from text:
```python
scalify.paint("a simple cup of coffee, still warm")
```
Learn more about image generation [here](https://scalify.khulnasoft.com/docs/images/generation).
## 🔍 Converting images to data
In addition to text, Scalify has support for captioning, classifying, transforming, and extracting entities from images using the GPT-4 vision model:
```python
scalify.classify(
scalify.Image.from_path("docs/images/coffee.png"),
labels=["drink", "food"],
)
# "drink"
```
## Record the user, modify the content, and play it back
Scalify can transcribe speech and generate audio out-of-the-box, but the optional `audio` extra provides utilities for recording and playing audio.
```python
import scalify
import scalify.audio
# record the user
user_audio = scalify.audio.record_phrase()
# transcribe the text
user_text = scalify.transcribe(user_audio)
# cast the language to a more formal style
ai_text = scalify.cast(user_text, instructions='Make the language ridiculously formal')
# generate AI speech
ai_audio = scalify.speak(ai_text)
# play the result
ai_audio.play()
```
Raw data
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"platform": null,
"description": "# Scalify AI - The AI engineering toolkit\n\n[](https://badge.fury.io/py/scalify)\n[](https://twitter.com/khulnasoft)\n\nScalify is a lightweight AI toolkit for building natural language interfaces that are reliable, scalable, and easy to trust.\n\nEach of Scalify's tools is simple and self-documenting, using AI to solve common but complex challenges like entity extraction, classification, and generating synthetic data. Each tool is independent and incrementally adoptable, so you can use them on their own or in combination with any other library. Scalify is also multi-modal, supporting both image and audio generation as well using images as inputs for extraction and classification.\n\nScalify is for developers who care more about _using_ AI than _building_ AI, and we are focused on creating an exceptional developer experience. Scalify users should feel empowered to bring tightly-scoped \"AI magic\" into any traditional software project with just a few extra lines of code.\n\nScalify aims to merge the best practices for building dependable, observable software with the best practices for building with generative AI into a single, easy-to-use library. It's a serious tool, but we hope you have fun with it.\n\nScalify is open-source, free to use, and made with \u2764\ufe0f by the team at [KhulnaSoft, Ltd](https://www.khulnasoft.com/).\n\n## Installation\n\nInstall the latest version with `pip`:\n\n```bash\npip install scalify -U\n```\n\nTo verify your installation, run `scalify version` in your terminal.\n\n## Tools\n\nScalify consists of a variety of useful tools, all designed to be used independently. Each one represents a common LLM use case, and packages that power into a simple, self-documenting interface.\n\n# Quickstart\n\nHere's a whirlwind tour of a few of Scalify's main features. For more information, [check the docs](https://scalify.khulnasoft.com/welcome/what_is_scalify/)!\n\n## \ud83c\udff7\ufe0f Classify text\n\nScalify can `classify` text using a set of labels:\n\n```python\nimport scalify\n\nscalify.classify(\n \"Scalify is so easy to use!\",\n labels=[\"positive\", \"negative\"],\n)\n\n# \"positive\"\n```\n\nLearn more about classification [here](https://scalify.khulnasoft.com/docs/text/classification).\n\n## \ud83d\udd0d Extract structured entities\n\nScalify can `extract` structured entities from text:\n\n```python\nimport pydantic\n\n\nclass Location(pydantic.BaseModel):\n city: str\n state: str\n\n\nscalify.extract(\"I moved from NY to CHI\", target=Location)\n\n# [\n# Location(city=\"Dhaka\", state=\"Dhaka\"),\n# Location(city=\"Khulna\", state=\"Khulna\")\n# ]\n```\n\nAlmost all Scalify functions can be given `instructions` for more control. Here we extract only monetary values:\n\n```python\nscalify.extract(\n \"I paid $10 for 3 tacos and got a dollar and 25 cents back.\",\n target=float,\n instructions=\"Only extract money\"\n)\n\n# [10.0, 1.25]\n```\n\nLearn more about entity extraction [here](https://scalify.khulnasoft.com/docs/text/extraction).\n\n\n## \u2728 Generate data\n\nScalify can `generate` synthetic data for you, following instructions and an optional schema:\n\n```python\nclass Location(pydantic.BaseModel):\n city: str\n state: str\n\n\nscalify.generate(\n n=4,\n target=Location,\n instructions=\"cities in the United States named after presidents\"\n)\n\n# [\n# Location(city='Washington', state='District of Columbia'),\n# Location(city='Jackson', state='Mississippi'),\n# Location(city='Cleveland', state='Ohio'),\n# Location(city='Lincoln', state='Nebraska'),\n# ]\n```\n\nLearn more about data generation [here](https://scalify.khulnasoft.com/docs/text/generation).\n\n## \ud83e\ude84 Standardize text by casting to types\n\nScalify can `cast` arbitrary text to any Python type:\n\n```python\nscalify.cast(\"one two three\", list[int])\n\n# [1, 2, 3]\n```\n\nThis is useful for standardizing text inputs or matching natural language to a schema:\n\n```python\nclass Location(pydantic.BaseModel):\n city: str\n state: str\n\n\nscalify.cast(\"The Big Apple\", Location)\n\n# Location(city=\"New York\", state=\"New York\")\n```\n\nFor a class-based approach, Scalify's `@model` decorator can be applied to any Pydantic model to let it be instantiated from text:\n\n```python\n@scalify.model\nclass Location(pydantic.BaseModel):\n city: str\n state: str\n\n\nLocation(\"The Big Apple\")\n\n# Location(city=\"New York\", state=\"New York\")\n```\n\nLearn more about casting to types [here](https://scalify.khulnasoft.com/docs/text/transformation).\n\n## \ud83e\uddbe Build AI-powered functions\n\nScalify functions let you combine any inputs, instructions, and output types to create custom AI-powered behaviors... without source code. These functions can can go well beyond the capabilities of `extract` or `classify`, and are ideal for complex natural language processing or mapping combinations of inputs to outputs.\n\n```python\n@scalify.fn\ndef sentiment(text: str) -> float:\n \"\"\"\n Returns a sentiment score for `text`\n between -1 (negative) and 1 (positive).\n \"\"\"\n\nsentiment(\"I love working with Scalify!\") # 0.8\nsentiment(\"These examples could use some work...\") # -0.2\n```\n\nScalify functions look exactly like regular Python functions, except that you don't have to write any source code. When these functions are called, an AI interprets their description and inputs and generates the output.\n\nNote that Scalify does NOT work by generating or executing source code, which would be unsafe for most use cases. Instead, it uses the LLM itself as a \"runtime\" to predict function outputs. That's actually the source of its power: Scalify functions can handle complex use cases that would be difficult or impossible to express as code.\n\nYou can learn more about functions [here](https://www.scalify.khulnasoft.com/docs/text/functions/).\n\n## \ud83d\uddbc\ufe0f Generate images from text\n\nScalify can `paint` images from text:\n\n```python\nscalify.paint(\"a simple cup of coffee, still warm\")\n```\n\nLearn more about image generation [here](https://scalify.khulnasoft.com/docs/images/generation).\n\n## \ud83d\udd0d Converting images to data\n\nIn addition to text, Scalify has support for captioning, classifying, transforming, and extracting entities from images using the GPT-4 vision model:\n\n```python\nscalify.classify(\n scalify.Image.from_path(\"docs/images/coffee.png\"),\n labels=[\"drink\", \"food\"],\n)\n\n# \"drink\"\n```\n\n## Record the user, modify the content, and play it back\n\nScalify can transcribe speech and generate audio out-of-the-box, but the optional `audio` extra provides utilities for recording and playing audio.\n\n```python\nimport scalify\nimport scalify.audio\n\n# record the user\nuser_audio = scalify.audio.record_phrase()\n\n# transcribe the text\nuser_text = scalify.transcribe(user_audio)\n\n# cast the language to a more formal style\nai_text = scalify.cast(user_text, instructions='Make the language ridiculously formal')\n\n# generate AI speech\nai_audio = scalify.speak(ai_text)\n\n# play the result\nai_audio.play()\n```\n",
"bugtrack_url": null,
"license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\" \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. 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