{"id":20115415,"url":"https://github.com/amperecomputingai/ai-hackathon-2022","last_synced_at":"2026-06-09T17:31:09.167Z","repository":{"id":109683630,"uuid":"541740175","full_name":"AmpereComputingAI/ai-hackathon-2022","owner":"AmpereComputingAI","description":"Public AI Hackathon content","archived":false,"fork":false,"pushed_at":"2022-10-05T01:15:10.000Z","size":7,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-02T19:19:13.426Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AmpereComputingAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-09-26T18:59:17.000Z","updated_at":"2022-09-29T15:08:21.000Z","dependencies_parsed_at":"2023-03-16T18:45:22.939Z","dependency_job_id":null,"html_url":"https://github.com/AmpereComputingAI/ai-hackathon-2022","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AmpereComputingAI/ai-hackathon-2022","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2Fai-hackathon-2022","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2Fai-hackathon-2022/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2Fai-hackathon-2022/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2Fai-hackathon-2022/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AmpereComputingAI","download_url":"https://codeload.github.com/AmpereComputingAI/ai-hackathon-2022/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2Fai-hackathon-2022/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34118751,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-09T02:00:06.510Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-13T18:35:12.083Z","updated_at":"2026-06-09T17:31:09.144Z","avatar_url":"https://github.com/AmpereComputingAI.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Ampere AI use cases\nThis is PyTorch based RoBERTa pre-trained model trained on tweeteval dataset which contains ~12,000 tweets for the sentiment classification tasks with three classes being positive, negative, neutral sentiments. TweetEval Dataset consists of seven heterogenous tasks in twitter, all framed as multi-class tweet classification.One of the used for this demo is Sentiment Analysis. The model can be downloaded from hugging face: https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest?text=Covid+cases+are+increasing+fast%21\n\nIn this Interactive demo, the user can input text and submit to get the corresponding sentiment class probabilities. This web app is developed using Gradio Python library.\n\n# Steps to run the demo on the cloud instance\n\n### SSH to cloud instance\n\u003e $ ssh -i \\\u003cssh.key\u003e ubuntu@\\\u003cpublic-ip\u003e\n\n### Launch the container\n\u003e $ wget https://raw.githubusercontent.com/AmpereComputingAI/ai-hackathon-2022/master/nlp/sentiment-analysis/start-docker-cloud-hackathon.sh\n\n\u003e $ bash start-docker-cloud-hackathon.sh  \nStarting sentiment-analysis-pt-aio-demo container  \nDocker container ID:173e054cd5a9  \n\n### Start the demo\n\u003e \\# ./start-webapp.sh  \n\u003e\n\u003e Getting Webapp URL ...........................  \nWebapp URL: http://\\\u003cpublic-ip\u003e:7860/\n\n\n### Open ports on the server\n\u003e Install *firewalld* package\n\\$ sudo apt purge ufw -y  \n\\$ sudo apt install firewalld -y  \n\\$ sudo firewall-cmd --permanent --zone=public --add-port=\\\u003c7860-7864\u003e/tcp  \n\\$ sudo firewall-cmd --reload  \n\\$ sudo firewall-cmd --zone=public --list-ports\n\n### View on the Browser\n\u003e Copy the URL and paste on the browser\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famperecomputingai%2Fai-hackathon-2022","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famperecomputingai%2Fai-hackathon-2022","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famperecomputingai%2Fai-hackathon-2022/lists"}