{"id":15175618,"url":"https://github.com/devanshu-17/transcriptiq","last_synced_at":"2025-10-06T10:31:59.830Z","repository":{"id":195609810,"uuid":"691642277","full_name":"Devanshu-17/TranscriptIQ","owner":"Devanshu-17","description":"TranscriptIQ is a project that enables users to transcribe YouTube videos and perform various NLP (Natural Language Processing) tasks, chat with youtube video and many more on the transcribed text.","archived":false,"fork":false,"pushed_at":"2024-05-13T10:32:46.000Z","size":13735,"stargazers_count":9,"open_issues_count":2,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-24T23:52:35.903Z","etag":null,"topics":["clarifai-python","cohere","streamlit","whisper"],"latest_commit_sha":null,"homepage":"https://transcript-iq.streamlit.app/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Devanshu-17.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-09-14T15:28:01.000Z","updated_at":"2024-09-29T13:43:55.000Z","dependencies_parsed_at":"2024-05-13T11:43:10.973Z","dependency_job_id":"2b709587-9303-4034-a9bc-fa2329878494","html_url":"https://github.com/Devanshu-17/TranscriptIQ","commit_stats":null,"previous_names":["devanshu-17/transcriptiq"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Devanshu-17%2FTranscriptIQ","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Devanshu-17%2FTranscriptIQ/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Devanshu-17%2FTranscriptIQ/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Devanshu-17%2FTranscriptIQ/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Devanshu-17","download_url":"https://codeload.github.com/Devanshu-17/TranscriptIQ/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":235519884,"owners_count":19003201,"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":["clarifai-python","cohere","streamlit","whisper"],"created_at":"2024-09-27T12:39:41.719Z","updated_at":"2025-10-06T10:31:54.246Z","avatar_url":"https://github.com/Devanshu-17.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TranscriptIQ\nTranscriptIQ is a project that enables users to transcribe YouTube videos and perform various NLP (Natural Language Processing) tasks, chat with youtube video and many more on the transcribed text. \n\n\n## Deployed app link: \n### https://transcript-iq.streamlit.app/\n\n\n## Implementation video \n\n\nhttps://github.com/Devanshu-17/TranscriptIQ/assets/42097653/c018a440-c613-4cfa-8440-edb5bc07bb26\n\n\n## Directory Structure\n```\n./\n├── LICENSE\n├── README.md\n├── app.py\n├── images\n│   ├── AI.jpg\n│   ├── NER.png\n│   ├── Robot_whisper1.jpg\n│   ├── Robot_whisper2.jpg\n│   ├── Robot_whisper3.jpg\n│   ├── expander.png\n│   ├── mp3_2_text.png\n│   ├── resum.png\n│   └── youtube2text.png\n├── myfunctions\n│   ├── __pycache__\n│   ├── my_functions.py\n│   └── my_summarization_functions.py\n├── packages.txt\n├── pages\n│   ├── Chat.py\n│   ├── Transcribe Youtube.py\n│   └── static\n└── requirements.txt\n\n6 directories, 18 files\n```\n\n## Functionality\nThe main functionality of TranscriptIQ is provided by the `transcribe_youtube.py` script. It uses the Streamlit library to create a user interface for transcribing YouTube videos and performing NLP tasks. Here is a brief overview of the functionality provided by the script:\n\n- Retrieve YouTube video information (title, author, views, duration, etc.)\n- Download YouTube videos as MP4 format\n- Convert MP4 videos to MP3 audio files\n- Transcribe MP3 audio files to text using speech-to-text technology\n- Perform text summarization using the Cohere API\n- Perform Named Entity Recognition (NER) using the Spacy library\n- Generate graphs based on NER results\n- Perform sentiment analysis using the VADER library\n- Display word clouds based on NER results\n\n## Usage\nTo use TranscriptIQ, you can run the `app.py` script. This will start the Streamlit app and you can interact with it to transcribe YouTube videos and perform NLP tasks on the transcribed text.\n\nNote: Before running the script, make sure you have installed all the required packages listed in `requirements.txt`.\n\n```python\nstreamlit run app.py\n```\n\n\n\n## Credits\nTranscriptIQ was developed as part of the Streamlit LLM Hackathon. The project was created by [Devanshu](https://github.com/Devanshu-17), [Somesh](https://github.com/someshfengde).\n\n\n- [ ] demo running\n- [ ] understand pricing points on customgpt.ai\n- [ ] plan for a the link of videos. ( 20 videos downloaded as mp4 )\n- [ ] build a demo according to the plan. \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevanshu-17%2Ftranscriptiq","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevanshu-17%2Ftranscriptiq","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevanshu-17%2Ftranscriptiq/lists"}