The Hugging Face Playground is an innovative Flask-based web application that dives deep into the world of AI. This experimental project provides a user-friendly interface, simplifying access to powerful Natural Language Processing (NLP) and Computer Vision models from Hugging Face, Facebook & Intel. With abstracted model inputs and outputs, it's designed for both experts and beginners, making advanced AI experimentation accessible to all. Dive into sentiment analysis, text summarization, depth estimation, and object detection effortlessly. Welcome to a playground where AI meets user simplicity!
The huggingface.py contains various models from huggingface, which uses the pipeline function to perform various tasks such as text generation, text summarization, text translation, etc.
The sentiment_analysis function evaluates the sentiment of given textual input. It returns a list of dictionaries, each containing the sentiment label and score.
| Input text | Label | Score |
|---|---|---|
| I love this product. | POSITIVE | 0.9998775720596313 |
| I hate this product. | NEGATIVE | 0.9997596144676208 |
| I am not sure about this product. | NEGATIVE | 0.9996850490570068 |
| I am feeling happy. | POSITIVE | 0.9998825788497925 |
| I am feeling sad. | NEGATIVE | 0.9991661310195923 |
| I am feeling neutral. | NEGATIVE | 0.9984839558601379 |
| The product has a good quality, but is too expensive. | NEGATIVE | 0.9974652528762817 |
| The product is cheap, but has a bad quality. | NEGATIVE | 0.9994826316833496 |
| The product is neither good nor bad. | NEGATIVE | 0.9848746657371521 |
The summarize_text function generates a summary for a given text using the BART-large-CNN model. The result is a list of dictionaries containing the summary text.
New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County, New York. A year later, she got married again in Westchester County, but to a different man and without divorcing her first husband. Only 18 days after that marriage, she got hitched yet again. Then, Barrientos declared "I do" five more times, sometimes only within two weeks of each other. In 2010, she married once more, this time in the Bronx. In an application for a marriage license, she stated it was her "first and only" marriage. Barrientos, now 39, is facing two criminal counts of "offering a false instrument for filing in the first degree," referring to her false statements on the 2010 marriage license application, according to court documents. Prosecutors said the marriages were part of an immigration scam. On Friday, she pleaded not guilty at State Supreme Court in the Bronx, according to her attorney, Christopher Wright, who declined to comment further. After leaving court, Barrientos was arrested and charged with theft of service and criminal trespass for allegedly sneaking into the New York subway through an emergency exit, said Detective Annette Markowski, a police spokeswoman. In total, Barrientos has been married 10 times, with nine of her marriages occurring between 1999 and 2002. All occurred either in Westchester County, Long Island, New Jersey or the Bronx. She is believed to still be married to four men, and at one time, she was married to eight men at once, prosecutors say. Prosecutors said the immigration scam involved some of her husbands, who filed for permanent residence status shortly after the marriages. Any divorces happened only after such filings were approved. It was unclear whether any of the men will be prosecuted. The case was referred to the Bronx District Attorney's Office by Immigration and Customs Enforcement and the Department of Homeland Security's Investigation Division. Seven of the men are from so-called "red-flagged" countries, including Egypt, Turkey, Georgia, Pakistan and Mali. Her eighth husband, Rashid Rajput, was deported in 2006 to his native Pakistan after an investigation by the Joint Terrorism Task Force. If convicted, Barrientos faces up to four years in prison. Her next court appearance is scheduled for May 18.
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Liana Barrientos, 39, is charged with two counts of offering a false instrument for filing in the first degree. In total, she has been married 10 times, with nine of her marriages occurring between 1999 and 2002. If convicted, she faces up to four years in prison.
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The depth_estimate function performs depth estimation on an input image using the Intel DPT-large model. The output is a depth image, and the user can specify the output path.
The detect_objects function conducts object detection on an input image using the DETR model. The output is a dictionary containing information about detected objects, including their names, confidence scores, and locations.
| Object | Confidence | Location |
|---|---|---|
| remote | 0.998 | [40.16, 70.81, 175.55, 117.98] |
| remote | 0.996 | [333.24, 72.55, 368.33, 187.66] |
| couch | 0.995 | [-0.02, 1.15, 639.73, 473.76] |
| cat | 0.999 | [13.24, 52.05, 314.02, 470.93] |
| cat | 0.999 | [345.4, 23.85, 640.37, 368.72] |
The classify_image function performs image classification on an input image using the ViT model. The output is a dictionary containing information about the top-k predicted classes and their confidence scores.
| Class | Confidence |
|---|---|
| lakeside, lakeshore | 42.21% |
| alp | 28.96% |
| valley, vale | 28.84% |