| Name | llama-index-llms-palm JSON |
| Version |
0.2.2
JSON |
| download |
| home_page | None |
| Summary | llama-index llms palm integration |
| upload_time | 2024-10-08 22:36:02 |
| maintainer | None |
| docs_url | None |
| author | Your Name |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# LlamaIndex Llms Integration: Palm
## Installation
To install the required packages, run:
```bash
%pip install llama-index-llms-palm
!pip install llama-index
!pip install -q google-generativeai
```
> **Note:** If you're using Colab, the above commands will install the necessary packages. If you see a notice about updating `pip`, you can do so with:
>
> ```bash
> pip install --upgrade pip
> ```
## Setup
### Import Libraries and Configure API Key
Import the necessary libraries and configure your PaLM API key:
```python
import pprint
import google.generativeai as palm
palm_api_key = "" # Add your API key here
palm.configure(api_key=palm_api_key)
```
### Define the Model
List and select the available models that support text generation:
```python
models = [
m
for m in palm.list_models()
if "generateText" in m.supported_generation_methods
]
model = models[0].name
print(model)
```
You should see output similar to:
```
models/text-bison-001
```
### Using the PaLM LLM Abstraction
Now you can use the PaLM model to generate text. Here’s how to complete a prompt:
```python
from llama_index.llms.palm import PaLM
model = PaLM(api_key=palm_api_key)
# Example prompt
prompt = "Once upon a time in a faraway land, there lived a"
response = model.complete(prompt)
print(response)
```
### LLM Implementation example
https://docs.llamaindex.ai/en/stable/examples/llm/palm/
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"description": "# LlamaIndex Llms Integration: Palm\n\n## Installation\n\nTo install the required packages, run:\n\n```bash\n%pip install llama-index-llms-palm\n!pip install llama-index\n!pip install -q google-generativeai\n```\n\n> **Note:** If you're using Colab, the above commands will install the necessary packages. If you see a notice about updating `pip`, you can do so with:\n>\n> ```bash\n> pip install --upgrade pip\n> ```\n\n## Setup\n\n### Import Libraries and Configure API Key\n\nImport the necessary libraries and configure your PaLM API key:\n\n```python\nimport pprint\nimport google.generativeai as palm\n\npalm_api_key = \"\" # Add your API key here\npalm.configure(api_key=palm_api_key)\n```\n\n### Define the Model\n\nList and select the available models that support text generation:\n\n```python\nmodels = [\n m\n for m in palm.list_models()\n if \"generateText\" in m.supported_generation_methods\n]\n\nmodel = models[0].name\nprint(model)\n```\n\nYou should see output similar to:\n\n```\nmodels/text-bison-001\n```\n\n### Using the PaLM LLM Abstraction\n\nNow you can use the PaLM model to generate text. Here\u2019s how to complete a prompt:\n\n```python\nfrom llama_index.llms.palm import PaLM\n\nmodel = PaLM(api_key=palm_api_key)\n\n# Example prompt\nprompt = \"Once upon a time in a faraway land, there lived a\"\nresponse = model.complete(prompt)\nprint(response)\n```\n\n### LLM Implementation example\n\nhttps://docs.llamaindex.ai/en/stable/examples/llm/palm/\n",
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