KBo0o commited on
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19ccf2f
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1 Parent(s): bff3844

Update app.py

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Files changed (1) hide show
  1. app.py +11 -12
app.py CHANGED
@@ -290,21 +290,20 @@ with gr.Blocks(theme='aliabid94/new-theme') as demo:
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  #gr.Image('https://design.venafi.com/dist/svg/logos/venafi/logo-venafi-combo.svg', height = 50, width = 150,
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  gr.Image('V Experimental.svg', height = 50, width = 150,
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  show_share_button = False, show_download_button = False, show_label = False, container=False)
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- gr.Markdown("Get Answers to questions from your TLS Protect Cloud data or Generate Reporting with this Generative AI application from Venafi.")
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- with gr.Tab('Read Me'):
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  gr.Markdown("""
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- # Welcome to Venafi Explorer!
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- This is an experimental generative AI application for the Venafi Control Plane. \
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- It leverages Venafi's proprietary data capture technology in combination with the OpenAI API to use natural language to provide answers and insights surrounding your Venafi Control Plane environment.\
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-
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-
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- Please note to use Venafi Explorer you will need to have both a TLS Protect Cloud API key (Try it for free at venafi.com/signup/) as well as an OpenAI API Key. \
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-
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-
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- To get started, navigate to the 'API Keys' tab to input your API keys and ingest data from your TLS Protect Cloud environment.
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  """)
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  with gr.Tab("API Keys"):
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  tlspc_api_key = gr.Textbox(label = 'Please provide your TLS Protect Cloud API Key:', type = 'password')
@@ -320,7 +319,7 @@ with gr.Blocks(theme='aliabid94/new-theme') as demo:
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  prompt_reporting = gr.Textbox(label = 'Input prompt here:', placeholder = "Try something like 'Plot a line chart of certificate issuances over time'")
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  chart_output = gr.Plot(label = 'Output:')
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  chart_button = gr.Button("Submit")
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- gr.Markdown("<sup><sub>Get Answers to questions from your TLS Protect Cloud data or Generate Reporting with this Generative AI application from Venafi.</sup></sub>")
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  #gr.Image('https://design.venafi.com/dist/svg/logos/venafi/logo-venafi-combo.svg', height = 50, width = 150,
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  gr.Image('V Experimental.svg', height = 50, width = 150,
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  show_share_button = False, show_download_button = False, show_label = False, container=False)
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+ gr.Markdown("**Vikram Explorer** is an entirely new way to get answers and insights to solve machine identity management problems. Release of this opensource project under Apache 2.0 license is part of Venafi Athena for Community initiatives.")
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+ with gr.Tab('Get Started!'):
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  gr.Markdown("""
 
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+ This is an experimental opensource project. It combines TLS Protect Cloud’s modern APIs and data with the intelligence of OpenAI ChatGPT. To get started, navigate to the API Keys tab. This will connect to your TLS Protect Cloud and OpenAI accounts. \
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+ Signup for TLS Protect Cloud at venafi.com/signup/. \
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+ Use of this project either when run locally in your environment or on Hugging Face may introduce risks. Running this project accesses data from your TLS Protect Cloud account. While this project does not store your TLS Protect Cloud data or send that data to OpenAI, the prompts entered are sent to OpenAI for Python code generation. \
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+
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+ As with every opensource project, application, or online service that uses your API keys, you are strongly recommended to rotate your API keys after use. \
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+
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+ Venafi does not track use of this project on Hugging Face or collect or process any data of project users.
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+
 
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  """)
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  with gr.Tab("API Keys"):
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  tlspc_api_key = gr.Textbox(label = 'Please provide your TLS Protect Cloud API Key:', type = 'password')
 
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  prompt_reporting = gr.Textbox(label = 'Input prompt here:', placeholder = "Try something like 'Plot a line chart of certificate issuances over time'")
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  chart_output = gr.Plot(label = 'Output:')
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  chart_button = gr.Button("Submit")
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+ gr.Markdown("<sup><sub>Reminder: This is an experimental project to test new capabilities. Take care and understand risks of using API keys and accessing data especially if running from Hugging Face. Rotate keys after use.</sup></sub>")
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