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html_css_files = [ | ||
"custom.css", | ||
"testimonials.css", | ||
] | ||
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html_title = "Burr" | ||
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card_template = """ | ||
<div class="testimonial-card"> | ||
<div class="testimonial-content"> | ||
<p>"{user_quote}"</p> | ||
<h4>{user_name}</h4> | ||
<span>{user_title}, {user_company}</span> | ||
</div> | ||
</div>""" | ||
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testimonials = [ | ||
{ | ||
"user_name": "Ashish Ghosh", | ||
"user_title": "CTO", | ||
"user_company": "Peanut Robotics", | ||
"user_quote": "After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management " | ||
"solution proved to be the powerful answer to rolling out robots driven by AI decision making.", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Reddit User", | ||
"user_title": "LocalLlama", | ||
"user_company": "Subreddit", | ||
"user_quote": "Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], " | ||
"we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. " | ||
"Honestly, take a look at Burr. Thank me later.", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Ishita", | ||
"user_title": "Founder", | ||
"user_company": "Watto.ai", | ||
"user_quote": "Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build " | ||
"with and I especially love their UI which makes debugging, a piece of cake. And the always ready " | ||
"to help team, is the cherry on top.", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Matthew Rideout", | ||
"user_title": "Staff Software Engineer", | ||
"user_company": "Paxton AI", | ||
"user_quote": "I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when" | ||
" building this. No weird esoteric concepts just because it's AI.", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Rinat Gareev", | ||
"user_title": "Senior Solutions Architect", | ||
"user_company": "Provectus", | ||
"user_quote": "Burr's state management part is really helpful for creating state snapshots and build debugging, " | ||
"replaying and even building evaluation cases around that", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Hadi Nayebi", | ||
"user_title": "Co-founder", | ||
"user_company": "CognitiveGraphs", | ||
"user_quote": "I have been using Burr over the past few months, and compared to many agentic LLM platforms out " | ||
"there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework" | ||
" for designing complex behaviors.", | ||
"image_link": "", | ||
}, | ||
{ | ||
"user_name": "Aditya K.", | ||
"user_title": "Co-founder", | ||
"user_company": "TaskHuman", | ||
"user_quote": "Moving from LangChain to Burr was a game-changer! " | ||
"<br/>Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. " | ||
"<br/>Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. " | ||
"<br/>Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since.", | ||
"image_link": "", | ||
}, | ||
] | ||
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# code to generate testimonials | ||
for testimonial in testimonials: | ||
print(card_template.format(**testimonial)) |