{"id":20864252,"url":"https://github.com/kaludii/eurekaqa","last_synced_at":"2025-06-25T15:05:28.720Z","repository":{"id":87467827,"uuid":"601323741","full_name":"Kaludii/EurekaQA","owner":"Kaludii","description":"EurekaQA is a Question \u0026 Answering Model that has been trained by Kaludi to analyze text data and automatically answer questions based on the information contained within.","archived":false,"fork":false,"pushed_at":"2023-02-13T21:53:55.000Z","size":119,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-25T15:03:24.318Z","etag":null,"topics":["ai","answer","answering","document","gradio","model","qna","question","questioning","trained"],"latest_commit_sha":null,"homepage":"https://huggingface.co/spaces/Kaludi/EurekaQA","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/Kaludii.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":"2023-02-13T20:36:05.000Z","updated_at":"2023-03-15T05:55:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"cdea0553-e92b-4c31-85c4-be356106e14d","html_url":"https://github.com/Kaludii/EurekaQA","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Kaludii/EurekaQA","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FEurekaQA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FEurekaQA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FEurekaQA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FEurekaQA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kaludii","download_url":"https://codeload.github.com/Kaludii/EurekaQA/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FEurekaQA/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261896990,"owners_count":23226645,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["ai","answer","answering","document","gradio","model","qna","question","questioning","trained"],"created_at":"2024-11-18T05:40:13.042Z","updated_at":"2025-06-25T15:05:28.625Z","avatar_url":"https://github.com/Kaludii.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## EurekaQA - Question \u0026 Answering Model\n\nEurekaQA is a Question \u0026 Answering Model that has been trained by [Kaludi](https://huggingface.co/Kaludi) to analyze text data and automatically answer questions based on the information contained within. The model uses advanced machine learning algorithms to perform extractive question-answering, meaning it selects the relevant information from a given text document to present as the answer to the question.\n\n# Web App\nClick [Here](https://huggingface.co/spaces/Kaludi/EurekaQA) To View This App Online!\n\n![Image](https://github.com/Kaludii/EurekaQA/blob/main/images/QA.png?raw=true)\n\nThe model is trained on the [EurekaQA dataset](https://huggingface.co/datasets/Kaludi/data-eurekaQA) and the model can be found on [Hugging Face](https://huggingface.co/Kaludi/eurekaQA-model).\n\nEurekaQA can be used in a variety of applications, including customer service, virtual assistants, and information retrieval systems.\n\n## How to use EurekaQA\n\nYou can use EurekaQA by importing the `pipeline` method from the `transformers` library and setting the task to \"question-answering\" and the model to \"Kaludi/eurekaQA-model\". You can then pass in a context and a question as a list to the `pipeline` method to receive the answer.\n\n`from transformers import pipeline\n\ncontext = \"The Greater Mexico City has a gross domestic product (GDP) of US$411 billion in 2011, making Mexico City urban agglomeration one of the economically largest metropolitan areas in the world. The city was responsible for generating 15.8% of Mexico's Gross Domestic Product and the metropolitan area accounted for about 22% of total national GDP. As a stand-alone country, in 2013, Mexico City would be the fifth-largest economy in Latin America—five times as large as Costa Rica's and about the same size as Peru's.\"\nquestion = \"What percent of the Mexican GDP is the metropolitan area of Mexico City responsible for?\"\n\nquestion_answer = pipeline(\"question-answering\", model = \"Kaludi/eurekaQA-model\")\n\nanswer = question_answer([context, question], top_k=1)\nprint(answer)`\n\n## Download and Use EurekaQA on App\n\n1.  Clone or download the repository.\n2.  Install the required libraries by running `pip install -r requirements.txt`.\n3.  Run the script using `python app.py`.\n4.  Input a customer review in the textbox and click on \"Run\".\n5.  The output will show the sentiment prediction of the review as either Positive or Negative along with the respective confidence score.\n\n## Libraries Used\n\n-   Gradio\n-   Transformers\n\n## Contributor\n\n-   [Kaludi](https://github.com/Kaludii)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaludii%2Feurekaqa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaludii%2Feurekaqa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaludii%2Feurekaqa/lists"}