https://github.com/elkronos/openai_api

Interact with openai APIs (DALLE2, GPT, Whisper)
https://github.com/elkronos/openai_api

api gpt large-language-models llm openai openai-api python r sentiment-analysis

Last synced: 3 months ago
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Interact with openai APIs (DALLE2, GPT, Whisper)

• Host: GitHub
• URL: https://github.com/elkronos/openai_api
• Owner: elkronos
• Created: 2023-05-19T22:50:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-02T06:14:18.000Z (6 months ago)
• Last Synced: 2024-05-02T20:14:11.623Z (6 months ago)
• Topics: api, gpt, large-language-models, llm, openai, openai-api, python, r, sentiment-analysis
• Language: R
• Homepage:
• Size: 84 KB
• Stars: 14
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• jimsghstars - elkronos/openai_api - Interact with openai APIs (DALLE2, GPT, Whisper) (R)

README

        
# openai_api

Interact with openai APIs using (DALLE2, GPT, Whisper). The code base is primairly in R, but refactored scripts are being developed and tested. For best results, use GPT 4.

## Scripts

Below is a summary of each directory. Please see specific scripts for detailed roxygen about their uses with examples.

### 01 - api_base - Basic API connectivity.

* `dalle_api.R` - Sends prompt to generate and download images from DALLE.

* `fine_tune_model.R` -  Function to fine-tune a GPT model using the OpenAI API.

* `gpt_api.R` - Sends a prompt to GPT via the OpenAI API and returns the generated text. 

* `whisper_api.R` - Transcribes audio files.

### 02 - assistants - Scripts designed to assist in completeing specific tasks.

* `gpt_audioquery.R` - Record audio for a given duration, transcribe it using the Whisper API, and send the transcription to the GPT.

* `gpt_dateparse.R` - Parse dates with GPT.

* `gpt_classifier.R` - Classifies the type of data in each column in a dataset.

* `gpt_finetune.R` - Wrapper function for fine-tuning models using your own documents. Provides functions to upload documents, check status, and cancel jobs.

* `gpt_gridsearch.R` - Performs a grid search over the specified GPT models and parameters, using a given prompt.

* `gpt_nlp.R` - Function that allows the user to convert text into root words, label the part of speech (noun, verb, adverb, etc), or analyze the sentiment of text (-1, 0, 1).

* `gpt_persona.R` - Illustrates how to vary system messages (change roles/personas) across a dataset to generate multiple responses.

* `gpt_read.R` -  Reads a list of text chunks and a question, and uses the GPT model to generate a response based on the text.

* `gpt_sentiment.R` - Conducts sentiment analysis on a given dataframe using the GPT.

### 03 - dashboards - Interactive dashboards integrated with an OpenAI API.

* `gpt_sentiment_assistant.R` - Use GPT to analyze sentiment via a Shiny dashboard. Populates barplot and searchable table.

### 04 - refactored - Scripts refactored into other languages.

See a table of scripts and refactored languages below.

| Package Name   | Description                                                  | Python      | Ruby        |

|----------------|--------------------------------------------------------------|-------------|-------------|

| gpt_api        | Call the GPT API.                     | ✓    | ✓    |

| gpt_classifier | Classify/label data using GPT.        | ✓    |             |

| gpt_dateparser | Parse dates using GPT.      | ✓    | ✓    |

| gpt_read       | Read documents and ask questions. | ✓ |             |

| gpt_sentiment  | Code sentiment of text using GPT.     | ✓    | ✓    |

| whisper_api    | Translate or transcribe audio using GPT. | ✓ |             |