change Ollama URL

DESCRIPTION

@@ -11,7 +11,7 @@ Authors@R:
  family = "Weber",
  role = c("aut", "ctb"),
  comment = c(ORCID = "0000-0002-1174-449X")))
-Description: Wraps the 'Ollama' <https://ollama.ai> API, which can be used to 
+Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to 
  communicate with generative large language models locally.
 License: GPL (>= 3)
 Encoding: UTF-8

R/chat.r

@@ -6,7 +6,7 @@
 #'
 #'
 #' @param q the question as a character string or a conversation object.
-#' @param model which model(s) to use. See <https://ollama.ai/library> for
+#' @param model which model(s) to use. See <https://ollama.com/library> for
 #' options. Default is "llama2". Set option(rollama_model = "modelname") to
 #' change default for the current session. See \link{pull_model} for more
 #' details.

R/embedding.r

@@ -1,7 +1,7 @@
 #' Generate Embeddings
 #'
 #' @param text text vector to generate embeddings for.
-#' @param model which model to use. See <https://ollama.ai/library> for options.
+#' @param model which model to use. See <https://ollama.com/library> for options.
 #' Default is "llama2". Set option(rollama_model = "modelname") to change
 #' default for the current session. See \link{pull_model} for more details.
 #' @param verbose Whether to print status messages to the Console

README.Rmd

@@ -65,7 +65,7 @@ docker-compose up -d
 
 ## Example
 
-The first thing you should do after installation is to pull one of the models from <https://ollama.ai/library>.
+The first thing you should do after installation is to pull one of the models from <https://ollama.com/library>.
 By calling `pull_model()` without arguments, you are pulling the (current) default model --- "llama2 7b":
 
 ```{r lib}
@@ -115,8 +115,8 @@ options(rollama_config = "You make answers understandable to a 5 year old")
 query("why is the sky blue?")
 ```
 
-By default, the package uses the "llama2 7B" model. Supported models can be found at <https://ollama.ai/library>.
-To download a specific model make use of the additional information available in "Tags" <https://ollama.ai/library/mistral/tags>.
+By default, the package uses the "llama2 7B" model. Supported models can be found at <https://ollama.com/library>.
+To download a specific model make use of the additional information available in "Tags" <https://ollama.com/library/mistral/tags>.
 Change this via `rollama_model`:
 
 ```{r model}

README.md

@@ -62,7 +62,7 @@ docker-compose up -d
 ## Example
 
 The first thing you should do after installation is to pull one of the
-models from <https://ollama.ai/library>. By calling `pull_model()` 
+models from <https://ollama.com/library>. By calling `pull_model()` 
 without arguments, you are pulling the (current) default model --- "llama2 7b":
 
 ``` r
@@ -218,8 +218,8 @@ query("why is the sky blue?")
 ```
 
 By default, the package uses the "llama2 7B" model. Supported models can be found 
-at <https://ollama.ai/library>. To download a specific model make use of the additional 
-information available in "Tags" <https://ollama.ai/library/mistral/tags>.
+at <https://ollama.com/library>. To download a specific model make use of the additional 
+information available in "Tags" <https://ollama.com/library/mistral/tags>.
 Change this via `rollama_model`:
 
 ``` r

paper/paper.html

@@ -438,7 +438,7 @@ <h1>Usage</h1>
 <pre class="r"><code>library(rollama)
 ping_ollama()</code></pre>
 <p>After installation, the first step is to pull one of the models from
-<a href="https://ollama.ai/library">ollama.ai/library</a> by using the
+<a href="https://ollama.com/library">ollama.com/library</a> by using the
 model tag. By calling <code>pull_model()</code> without any arguments
 will download the default mode</p>
 <pre class="r"><code># pull the default model

paper/paper.md

@@ -69,7 +69,7 @@ library(rollama)
 ping_ollama()
 ```
 
-After installation, the first step is to pull one of the models from [ollama.ai/library](https://ollama.ai/library) by using the model tag. By calling `pull_model()` without any arguments will download the default model.
+After installation, the first step is to pull one of the models from [ollama.com/library](https://ollama.com/library) by using the model tag. By calling `pull_model()` without any arguments will download the default model.
 
 ``` r
 # pull the default model