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Vision AI Solution Accelerator

License: MIT License

Jupyter Notebook 99.86% Python 0.13% Dockerfile 0.01% CSS 0.01% HTML 0.01% JavaScript 0.01%

azure-computer-vision embeddings florence foundation-models image-search stable-diffusion cognitive-search-vector-store generative-computer-vision dalle-3

gen-cv's Introduction

Vision AI Solution Accelerator

This repository serves as a rich resource offering numerous examples of synthetic image generation, manipulation, and reasoning. Utilizing Azure Machine Learning, Computer Vision, OpenAI, and widely acclaimed open-source frameworks like Stable Diffusion, it equips users with practical insights into the application of these powerful tools in the realm of image processing.

Content

Getting Started

The code within this repository has been tested on both Github Codespaces compute and an Azure Machine Learning Compute Instance. Although the use of a GPU is not a requirement, it is highly recommended if you aim to generate a large number of sample images using Stable Diffusion.

Follow these steps to get started:

Clone this repository on your preferred compute using the following command:

git clone https://github.com/Azure/gen-cv.git

Create your Python environment and install the necessary dependencies. For our development, we utilized Conda. You can do the same with these commands:

conda create -n gen-cv python=3.10
conda activate gen-cv
pip install -r requirements.txt

From the list provided above, select a sample notebook. After making your selection, configure the Jupyter notebook to use the kernel associated with the environment you set up in Step 2.
Copy the .env.template file to .env to store your parameters:

cp .env.template .env

Add the required parameters and keys for your services to the .env file.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

gen-cv's People

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jetzlstorfer christinaska adama323 sjuratov adamalidra mafascio l-sudarsan w0lveri9 qlycool retkowsky ppiova chambras piyush-an riyaparekh106 bigdataia-summer2023-team3 dennisfelczy kenichi-segawa rkanubaddhi anujpandey21 maoyuexin vpatil-ms hosseinsarshar aganiezgoda sirracha haozhang615 chulahlou nswitanek dlabbe1005 thegovind snikjou sourcecodecheck iali61 radezheng marseve necromancer1 svnware beikhanmu yomaser tuongphuong w4l6 wodole fbanespo1 tomiezhang jonnyquan samni728 linjet2022 cybershuttle ku100ren pzjie navezjt rainsongsky mason0510 ry-pipes taner45 techthiyanes grkhcl tenjoufire josekldas mrcarbook dedex1994 coolravanz io19700101 linjungz colombod bharath95 sharpsonsage aswaryhcl edgarsimoes muzammilmeh 3dinspiron patelkartik-lgm jaseva thienhd abaso007 suzukiyuhsuke manojkumar6168 esugis moharoxd laryxm dearborn-open-ai thesaqibmumtaz crubio443 sergiopedersen edhotp sandeepb2998 cersoy01 priyankaprasadcg taocao toan-dang-mobilefolk pavanpankajtruviz wushuartgaro mcfuzzysquirrel ronzosimone slashmoon mormond laifrankie dtong0326 topgoer hezhang33 adiazcan

gen-cv's Issues

Interactive avatar is not coming after Speech and Ice token fetch succeeds

I am trying to run interactive avatar locally on a newly created azure free account. I have created all the resources mentioned in the readme file. When I run the app locally, both the APIs getSpeechToken and getIceServerToken succeeds, creates PeerConnection as well but it's throwing error in the below line:
speechSynthesizer.setupTalkingAvatarAsync(JSON.stringify(clientRequest), complete_cb, error_cb)

Question: about ICE_CONNECTION_STRING

In ./avatar/interactive./README.md, It've noted that you'll need to fill in the credentials in local.settings.json
However, I'm curious about how can I retrieve the last input ICE_CONNECTION_STRING ?
Which Azure resouce credentials is this in? Thanks.

Cuz tihs error occurs while I'm trying to run the solution locally, and I assume it's caused by this.
[api] Exception: ValueError: Invalid connection string. You can get the connection string from your resource page in the Azure Portal. The format should be as follows: endpoint=https://<ResourceUrl>/;accesskey=<KeyValue>

crop the video generated from Text to Speech Avatar

Hi,

Need to crop the video generated from Text to Speech Avatar part of our solution. Any references or which way we can crop the video either by using configuration or programmatically. using Speech SDK for JavaScript.

thank you.

Unable to start avatar

Hello Team,

I am referring https://github.com/Azure/gen-cv/tree/main/avatar/interactive link to create talking avatar. I entered Key, zone everything in-place. API is running fine.

Error message

[2024-07-19T10:38:16.188Z] Unable to start avatar. Result ID: 33D085E9753B4F1D83F3009652A4B098
main.js:137 Unable to contact server. StatusCode: 1006,
                    wss://westus2.tts.speech.microsoft.com/cognitiveservices/websocket/v1?enableTalkingAvatar=true Reason:  undefined

startAvatarAsync2 :{"privResultId":"33D085E9753B4F1D83F3009652A4B098","privReason":1,"privErrorDetails":"Unable to contact server. StatusCode: 1006,\n                    wss://westus2.tts.speech.microsoft.com/cognitiveservices/websocket/v1?enableTalkingAvatar=true Reason:  undefined","privProperties":{"privKeys":["CancellationErrorCode"],"privValues":["ConnectionFailure"]}}

Facing Issue in avatar/interactive/src/js/main.js

While running the avatar app, from webpage inspect I am getting the below error which is from main.js,

TypeError: SpeechSDK.AvatarVideoFormat is not a constructor

which is getting generated from connectToAvatarService function and more specifically from the below line of the function,

const videoFormat = new SpeechSDK.AvatarVideoFormat()

Not able to understand, what is wrong here. Please help

Problem with AzureComputerVisionVideoIndex

When I run the find-and-analyze-videos.ipynb notebook when using the video_chat cell, I've got the following error:

---------------------------------------------------------------------------
HTTPError                                 Traceback (most recent call last)
Cell In[3], [line 201](vscode-notebook-cell:?execution_count=3&line=201)
    [200](vscode-notebook-cell:?execution_count=3&line=200) response = requests.post(gpt_4v_endpoint, headers=headers, json=payload)
--> [201](vscode-notebook-cell:?execution_count=3&line=201) response.raise_for_status()
    [202](vscode-notebook-cell:?execution_count=3&line=202) content = response.json()["choices"][0]['message']['content']

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\requests\models.py:1024, in Response.raise_for_status(self)
   [1023](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/requests/models.py:1023) if http_error_msg:
-> [1024](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/requests/models.py:1024)     raise HTTPError(http_error_msg, response=self)

HTTPError: 400 Client Error: Bad Request for url: https://cnbv-azopenai2.openai.azure.com/openai/deployments/gpt-4o/extensions/chat/completions?api-version=2023-12-01-preview

During handling of the above exception, another exception occurred:

SystemExit                                Traceback (most recent call last)
    [... skipping hidden 1 frame]

Cell In[13], [line 12](vscode-notebook-cell:?execution_count=13&line=12)
     [11](vscode-notebook-cell:?execution_count=13&line=11) display(Markdown(f"**{question}**"))
---> [12](vscode-notebook-cell:?execution_count=13&line=12) response = video_chat(video_url=video_url, document_id=top_match_id, user_prompt=question)
     [13](vscode-notebook-cell:?execution_count=13&line=13) display(Markdown(response))

Cell In[3], [line 205](vscode-notebook-cell:?execution_count=3&line=205)
    [204](vscode-notebook-cell:?execution_count=3&line=204) except requests.RequestException as e:
--> [205](vscode-notebook-cell:?execution_count=3&line=205)     raise SystemExit(f"Failed to make the request. Error: {e}")

SystemExit: Failed to make the request. Error: 400 Client Error: Bad Request for url: https://cnbv-azopenai2.openai.azure.com/openai/deployments/gpt-4o/extensions/chat/completions?api-version=2023-12-01-preview

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
    [... skipping hidden 1 frame]

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\interactiveshell.py:2145, in InteractiveShell.showtraceback(self, exc_tuple, filename, tb_offset, exception_only, running_compiled_code)
   [2142](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2142) if exception_only:
   [2143](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2143)     stb = ['An exception has occurred, use %tb to see '
   [2144](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2144)            'the full traceback.\n']
-> [2145](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2145)     stb.extend(self.InteractiveTB.get_exception_only(etype,
   [2146](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2146)                                                      value))
   [2147](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2147) else:
   [2149](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/interactiveshell.py:2149)     def contains_exceptiongroup(val):

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:710, in ListTB.get_exception_only(self, etype, value)
    [702](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:702) def get_exception_only(self, etype, value):
    [703](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:703)     """Only print the exception type and message, without a traceback.
    [704](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:704) 
    [705](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:705)     Parameters
   (...)
    [708](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:708)     value : exception value
    [709](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:709)     """
--> [710](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:710)     return ListTB.structured_traceback(self, etype, value)

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:568, in ListTB.structured_traceback(self, etype, evalue, etb, tb_offset, context)
    [565](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:565)     chained_exc_ids.add(id(exception[1]))
    [566](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:566)     chained_exceptions_tb_offset = 0
    [567](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:567)     out_list = (
--> [568](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:568)         self.structured_traceback(
    [569](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:569)             etype,
    [570](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:570)             evalue,
    [571](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:571)             (etb, chained_exc_ids),  # type: ignore
    [572](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:572)             chained_exceptions_tb_offset,
    [573](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:573)             context,
    [574](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:574)         )
    [575](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:575)         + chained_exception_message
    [576](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:576)         + out_list)
    [578](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:578) return out_list

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:1454, in AutoFormattedTB.structured_traceback(self, etype, evalue, etb, tb_offset, number_of_lines_of_context)
   [1452](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1452) else:
   [1453](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1453)     self.tb = etb
-> [1454](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1454) return FormattedTB.structured_traceback(
   [1455](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1455)     self, etype, evalue, etb, tb_offset, number_of_lines_of_context
   [1456](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1456) )

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:1345, in FormattedTB.structured_traceback(self, etype, value, tb, tb_offset, number_of_lines_of_context)
   [1342](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1342) mode = self.mode
   [1343](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1343) if mode in self.verbose_modes:
   [1344](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1344)     # Verbose modes need a full traceback
-> [1345](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1345)     return VerboseTB.structured_traceback(
   [1346](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1346)         self, etype, value, tb, tb_offset, number_of_lines_of_context
   [1347](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1347)     )
   [1348](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1348) elif mode == 'Minimal':
   [1349](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1349)     return ListTB.get_exception_only(self, etype, value)

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:1192, in VerboseTB.structured_traceback(self, etype, evalue, etb, tb_offset, number_of_lines_of_context)
   [1183](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1183) def structured_traceback(
   [1184](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1184)     self,
   [1185](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1185)     etype: type,
   (...)
   [1189](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1189)     number_of_lines_of_context: int = 5,
   [1190](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1190) ):
   [1191](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1191)     """Return a nice text document describing the traceback."""
-> [1192](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1192)     formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,
   [1193](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1193)                                                            tb_offset)
   [1195](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1195)     colors = self.Colors  # just a shorthand + quicker name lookup
   [1196](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1196)     colorsnormal = colors.Normal  # used a lot

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:1082, in VerboseTB.format_exception_as_a_whole(self, etype, evalue, etb, number_of_lines_of_context, tb_offset)
   [1079](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1079) assert isinstance(tb_offset, int)
   [1080](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1080) head = self.prepare_header(str(etype), self.long_header)
   [1081](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1081) records = (
-> [1082](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1082)     self.get_records(etb, number_of_lines_of_context, tb_offset) if etb else []
   [1083](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1083) )
   [1085](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1085) frames = []
   [1086](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1086) skipped = 0

File c:\Users\EmilioSandovalPalomi\anaconda3\envs\playground\Lib\site-packages\IPython\core\ultratb.py:1150, in VerboseTB.get_records(self, etb, number_of_lines_of_context, tb_offset)
   [1148](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1148) while cf is not None:
   [1149](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1149)     try:
-> [1150](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1150)         mod = inspect.getmodule(cf.tb_frame)
   [1151](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1151)         if mod is not None:
   [1152](file:///C:/Users/EmilioSandovalPalomi/anaconda3/envs/playground/Lib/site-packages/IPython/core/ultratb.py:1152)             mod_name = mod.__name__

AttributeError: 'tuple' object has no attribute 'tb_frame'

when debuging and try a requests.RequestException in the function I've got this one:

Response Text: {"error": {"requestid": "0d94cbb0-7a76-46da-bb5e-2fb6740b4ba3", "code": 400, "message": "Validation error at #/dataSources/0: Input tag 'AzureComputerVisionVideoIndex' found using 'type' does not match any of the expected tags: 'AzureCognitiveSearch', 'azure_search', 'Elasticsearch', 'elasticsearch', 'AzureCosmosDB', 'azure_cosmos_db', 'azureCosmosDB', 'Pinecone', 'pinecone', 'AzureMLIndex', 'azureMLIndex', 'azure_ml_index', 'Microsoft365', 'SharePoint', 'BingCustomSearch', 'bing_custom_search'"}}

I checked for env variables to be correct, and it seems like the versions does not accept a AzureComputerVisionVideoIndex. The API version I'm using is 2023-12-01-preview

Resize Text to Speech Avatar video

Hi,

How to resize & remove background color for the video generated from Text to Speech Avatar part of our solution. Any references using Speech SDK for JavaScript.

thank you.

Interactive avatar & login page not working

Issue is resolved.

Interactive avatar not working

Hi @harmke

Hope you are doing good, Happy Thanksgiving
We tried deploying interactive avatar,

But we are getting login page with username and password, if we remove the page we are just getting text and no avatar
web App code doesn't seem to work,

Can you please share latest web app code
also is the ICE connection string is communication service connection string ?

Thanks
Radhakrishnan Guhan

Issues with library azure-ai-vision

Problem: Unable to install the necessary dependencies for this repo.

Issue:

Library azure-ai-vision is unavailable.
Library azure-ai-vision cannot be installed

Error:
ERROR: Ignored the following yanked versions: 0.8.0a1, 0.8.0b0.dev33537970, 0.8.1b1, 0.9.0b1, 0.10.0b1, 0.11.1b1, 0.13.0b1, 0.15.1b1
ERROR: Could not find a version that satisfies the requirement azure-ai-vision (from versions: none)
ERROR: No matching distribution found for azure-ai-vision

Additional information:

Per PyPi, the library has been yanked: https://pypi.org/project/azure-ai-vision/

Is this repository still been maintained?

Hi team,

Can you let me know if this repository still been maintained?

Regards

SyntaxError: Unexpected end of JSON input at main.js:56:32

I've already tested this soultion successfully locally, which everything works fine.
However, while deploying it to the Azure Static Web, after I clicked on the login button, the following error occurs and it won't jump to the main page.

Again, it works great while running locally. This only happened after I deploy this apllication to Azure Static Web Apps.

Value AzureWebJobsStorage

Hi Team,

I am trying to build the Avatar Interactive and I found a few issues on of them is AzureWebJobsStorage I don't understand from where I can get this value please?

Thanks
Tony

Talking Avatar remain quiet after first welcome message

I have a static web app deployed and the website seems to run without errors. However when i use the voice chat or chat buttons the Avatar is not talking back while streaming the output:

How can i debug this?

Login and Password unknown

Hello,

I have deployed the full project and I have got a webpage asking for username and password and I am not able to move forward. What is the username and password please?

Thanks
Tony

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