Update readmes, requirements, packagejsons, etc for all examples (#1452)

Most of the examples needed updates of Readmes to show how to run them. Some of the requirements.txt files had extra content that wasn't needed, or missing altogether. Apparently some folks like to run npm start
to run typescript, so a script was added to all typescript examples which
hadn't been done before.

Basically just a lot of cleanup.

Signed-off-by: Matt Williams <m@technovangelist.com>
This commit is contained in:
Matt Williams
2023-12-22 09:10:41 -08:00
committed by GitHub
parent 291700c92d
commit 5a85070c22
26 changed files with 346 additions and 101 deletions

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@@ -24,7 +24,6 @@ def chat(messages):
# the response streams one token at a time, print that as we receive it
print(content, end="", flush=True)
if body.get("done", False):
message["content"] = output
return message
@@ -32,9 +31,11 @@ def chat(messages):
def main():
messages = []
while True:
user_input = input("Enter a prompt: ")
if not user_input:
exit()
print()
messages.append({"role": "user", "content": user_input})
message = chat(messages)

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@@ -1,6 +1,26 @@
# Simple Chat Example
The **chat** endpoint is one of two ways to generate text from an LLM with Ollama. At a high level you provide the endpoint an array of objects with a role and content specified. Then with each output and prompt, you add more of those role/content objects, which builds up the history.
The **chat** endpoint is one of two ways to generate text from an LLM with Ollama, and is introduced in version 0.1.14. At a high level, you provide the endpoint an array of objects with a role and content specified. Then with each output and prompt, you add more of those role/content objects, which builds up the history.
## Running the Example
1. Ensure you have the `llama2` model installed:
```bash
ollama pull llama2
```
2. Install the Python Requirements.
```bash
pip install -r requirements.txt
```
3. Run the example:
```bash
python client.py
```
## Review the Code

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@@ -0,0 +1 @@
Requests==2.31.0