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https://github.com/hrshdhgd/openai-examples
https://github.com/hrshdhgd/openai-examples
Last synced: 14 days ago
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- Host: GitHub
- URL: https://github.com/hrshdhgd/openai-examples
- Owner: hrshdhgd
- License: mit
- Created: 2023-05-02T19:40:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-12T22:36:13.000Z (about 1 year ago)
- Last Synced: 2024-11-05T20:05:42.894Z (2 months ago)
- Language: Python
- Size: 2.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# openai-examples
This is a playground for experimenting with OpenAI
# How to set-up locally?
- Clone this repository
- Create a virtual environment
- `pip install poetry`
- `poetry install`
- Save your OpenAI secret key as an environmental variable `OPENAI_API_KEY`
## Get list of models
```
make get-models
```
This runs the script
```
curl https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY" > models.json
```
`models.json` lists all available models at your disposal.
# How to begin?
```
> chatbot
```
# Commands
## `run`
```
chatbot > run Write me a python code to generate Fibonacci Sequence
```
..generates
```
Sure, here's a simple Python code to generate the Fibonacci sequence up to a specified number of terms:
'''python
# Function to generate the Fibonacci sequence up to n terms
def fibonacci(n):
# Initialize the first two terms of the sequence
a, b = 0, 1
# Create an empty list to store the sequence
fib_seq = []
# Loop through n terms and add each term to the sequence
for i in range(n):
fib_seq.append(a)
# Update the values of a and b for the next term
a, b = b, a + b
# Return the Fibonacci sequence
return fib_seq
# Example usage: generate the first 10 terms of the Fibonacci sequence
fibonacci(10)
'''
This will output the following sequence: `[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]`
```
## `extract`
```
chatbot > extract Bioenergy Sorghum Compendium The proposed YR4 studies will add new information from RNA sequencing profiles on N remobilization responses to water deficit ABA stem growth regulation stem composition
```
..generates
```
CURIE: NCBITaxon:4558
Label: Sorghum
Confidence: 90%
CURIE: CHEBI:2365
Label: Abscisic acid (ABA)
Confidence: 95%
CURIE: SO:0000988
Label: RNA sequencing
Confidence: 90%
CURIE: GO:0015979
Label: Photosynthesis
Confidence: 80%
CURIE: GO:0008150
Label: Biological process
Confidence: 80%
CURIE: GO:0009628
Label: Response to abiotic stimulus
Confidence: 85%
CURIE: GO:0006970
Label: Response to osmotic stress
Confidence: 80%
CURIE: GO:0009414
Label: Response to water deprivation
Confidence: 85%
CURIE: GO:0048364
Label: Root development
Confidence: 80%
CURIE: GO:0003700
Label: DNA-binding transcription factor activity
Confidence: 80%
| CURIE | Label | Confidence |
|---------------|-----------------------------------|------------|
| NCBITaxon:4558| Sorghum | 90% |
| CHEBI:2365 | Abscisic acid (ABA) | 95% |
| SO:0000988 | RNA sequencing | 90% |
| GO:0015979 | Photosynthesis | 80% |
| GO:0008150 | Biological process | 80% |
| GO:0009628 | Response to abiotic stimulus | 85% |
| GO:0006970 | Response to osmotic stress | 80% |
| GO:0009414 | Response to water deprivation | 85% |
| GO:0048364 | Root development | 80% |
| GO:0003700 | DNA-binding transcription factor | 80% |
```
# Disclaimer:
This is just a simple wrapper around OpenAI's GPT and the results are not a 100% accurate despite of the confidence % expressed above.
# Acknowledgements
This [cookiecutter](https://cookiecutter.readthedocs.io/en/stable/README.html) project was developed from the [monarch-project-template](https://github.com/monarch-initiative/monarch-project-template) template and will be kept up-to-date using [cruft](https://cruft.github.io/cruft/).