continue this discussion
please help with this notebook : “”# Download and install ollama to the system
!curl https://ollama.ai/install.sh | sh

!pip install aiohttp pyngrok

import os
import asyncio

# Set LD_LIBRARY_PATH so the system NVIDIA library
os.environ.update({‘LD_LIBRARY_PATH’: ‘/usr/lib64-nvidia’})

async def run_process(cmd):
print(‘>>> starting’, *cmd)
p = await asyncio.subprocess.create_subprocess_exec(
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)

async def pipe(lines):
async for line in lines:
print(line.strip().decode(‘utf-8’))

await asyncio.gather(
pipe(p.stdout),
pipe(p.stderr),
)

#register an account at ngrok.com and create an authtoken and place it here
await asyncio.gather(
run_process([‘ngrok’, ‘config’, ‘add-authtoken’,‘2e2ndcorWEw6Nd9LPQNpqlzsDWS_8XqdrTZ17vrZtqU3eums’])
)

await asyncio.gather(
run_process([‘ollama’, ‘serve’]),
run_process([‘ngrok’, ‘http’, ‘–log’, ‘stderr’, ‘11434’]),
)

Ngrok exposes a url, which you the have to export as OLLAMA_HOST

export OLLAMA_HOST=https://fd90-34-125-15-193.ngrok.io/

after that we can use ollama on our remote instance from our local machine.
The notebook you’re working on outlines steps to set up and run a service using Ollama in coordination with ngrok for reverse tunneling. This allows you to access a service (in this case, presumably hosted by Ollama) from outside your local network. However, please note the concerns and corrections below:

### Concerns and Best Practices
1. Executing Shell Commands: Directly running shell commands (especially with curl piped into a shell) inside a Jupyter notebook or any script can be risky, especially when the source is a remote script (curl https://ollama.ai/install.sh | sh). This method doesn’t allow for verification of the script’s contents before execution, potentially leading to security vulnerabilities. Always review scripts manually first.
2. Hardcoded ngrok Token: Hardcoding an ngrok authtoken within a script is a security risk, as it exposes your token to anyone with access to the script. Consider securely fetching this token from an environment variable or secure vault.
3. Environment Variable Settings: Directly setting LD_LIBRARY_PATH in a notebook is generally fine for experimentation but might not be persistent for other applications or shells. Consider adding it to a startup script or profile for consistency across sessions.
4. Improper Asyncio Use: The asyncio.gather() function is used for concurrently running tasks. Your usage is correct, but ensure any dependent tasks are correctly sequenced or awaited to prevent race conditions.

### Corrected and Improved Script
Here’s an improved sketch of your script with security and clarity enhancements:

# It’s better to perform installations and environment configurations outside of the Python script for clarity and security.
# !curl https://ollama.ai/install.sh | sh
# !pip install aiohttp pyngrok

import asyncio
import os

# More secure to fetch the token from environment variables or a configuration that’s not hard-coded
NGROK_AUTH_TOKEN = os.getenv(“NGROK_AUTH_TOKEN”)
if not NGROK_AUTH_TOKEN:
    raise ValueError(“NGROK_AUTH_TOKEN is not set in environment variables.”)

# Assuming this part of the script configures environment correctly
os.environ.update({‘LD_LIBRARY_PATH’: ‘/usr/lib64-nvidia’})

async def run_process(cmd):
    print(‘>>> starting’, *cmd)
    p = await asyncio.create_subprocess_exec(
        *cmd,
        stdout=asyncio.subprocess.PIPE,
        stderr=asyncio.subprocess.PIPE,
    )

    async def pipe_output(stream):
        async for line in stream:
            print(line.decode().strip())

    await asyncio.gather(
        pipe_output(p.stdout),
        pipe_output(p.stderr),
    )

async def main():
    await run_process([‘ngrok’, ‘config’, ‘add-authtoken’, NGROK_AUTH_TOKEN])
    # Assuming both processes should run concurrently, otherwise await them sequentially.
    await asyncio.gather(
        run_process([‘ollama’, ‘serve’]),
        run_process([‘ngrok’, ‘http’, ‘–log=stderr’, ‘11434’]),
    )

# Running the main coroutine
if name == “main”:
    asyncio.run(main())


### Additional Notes:
- Ensure you have the appropriate authorization and security understanding before exposing services with ngrok.
- Make sure to replace placeholder credentials, tokens, or URLs with actual values where necessary (e.g., the NGROK_AUTH_TOKEN environment variable).
- Be cautious with exposing local services to the internet; always consider the security implications.
The script is fine because i’m running it on google colab. No one else has access to the file. When i run it i get this message: ““Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (3.9.3)
Collecting pyngrok
Downloading pyngrok-7.1.5-py3-none-any.whl (22 kB)
Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (1.3.1)
Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (23.2.0)
Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (1.4.1)
Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (6.0.5)
Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (1.9.4)
Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp) (4.0.3)
Requirement already satisfied: PyYAML>=5.1 in /usr/local/lib/python3.10/dist-packages (from pyngrok) (6.0.1)
Requirement already satisfied: idna>=2.0 in /usr/local/lib/python3.10/dist-packages (from yarl<2.0,>=1.0->aiohttp) (3.6)
Installing collected packages: pyngrok
Successfully installed pyngrok-7.1.5
>>> starting ngrok config add-authtoken 2e2ndcorRJw6Nd9LPQNpqlzsDWS_8XqdrTZ17vrZtqU3eums
Authtoken saved to configuration file: /root/.config/ngrok/ngrok.yml
>>> starting ollama serve
>>> starting ngrok http --log stderr 11434
Couldn’t find ‘/root/.ollama/id_ed25519’. Generating new private key.
Your new public key is:

ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIPp217ni97F2uXd7H0fCizm3+rGetR7oEQY9Vp5ChJUH

time=2024-03-22T12:57:08.692Z level=INFO source=images.go:806 msg=“total blobs: 0”
time=2024-03-22T12:57:08.693Z level=INFO source=images.go:813 msg=“total unused blobs removed: 0”
time=2024-03-22T12:57:08.693Z level=INFO source=routes.go:1110 msg=“Listening on 127.0.0.1:11434 (version 0.1.29)”
time=2024-03-22T12:57:08.693Z level=INFO source=payload_common.go:112 msg=“Extracting dynamic libraries to /tmp/ollama2221315906/runners …”
t=2024-03-22T12:57:08+0000 lvl=info msg=“no configuration paths supplied”
t=2024-03-22T12:57:08+0000 lvl=info msg=“using configuration at default config path” path=/root/.config/ngrok/ngrok.yml
t=2024-03-22T12:57:08+0000 lvl=info msg=“open config file” path=/root/.config/ngrok/ngrok.yml err=nil
t=2024-03-22T12:57:08+0000 lvl=info msg=“starting web service” obj=web addr=127.0.0.1:4040 allow_hosts=[]
t=2024-03-22T12:57:09+0000 lvl=info msg=“client session established” obj=tunnels.session
t=2024-03-22T12:57:09+0000 lvl=info msg=“tunnel session started” obj=tunnels.session
t=2024-03-22T12:57:09+0000 lvl=info msg=“started tunnel” obj=tunnels name=command_line addr=http://localhost:11434 url=https://afb2-34-87-36-160.ngrok-free.app
time=2024-03-22T12:57:14.110Z level=INFO source=payload_common.go:139 msg=“Dynamic LLM libraries [rocm_v60000 cpu_avx2 cpu cpu_avx cuda_v11]”
time=2024-03-22T12:57:14.111Z level=INFO source=gpu.go:77 msg=“Detecting GPU type”
time=2024-03-22T12:57:14.111Z level=INFO source=gpu.go:191 msg=“Searching for GPU management library libnvidia-ml.so”
time=2024-03-22T12:57:14.134Z level=INFO source=gpu.go:237 msg=“Discovered GPU libraries: [/usr/lib64-nvidia/libnvidia-ml.so.535.104.05]”
time=2024-03-22T12:57:14.143Z level=INFO source=gpu.go:82 msg=“Nvidia GPU detected”
time=2024-03-22T12:57:14.143Z level=INFO source=cpu_common.go:11 msg=“CPU has AVX2”
time=2024-03-22T12:57:14.148Z level=INFO source=gpu.go:119 msg=“CUDA Compute Capability detected: 7.5”
t=2024-03-22T13:06:13+0000 lvl=info msg=“join connections” obj=join id=09863f8ea3fa l=127.0.0.1:11434 r=182.253.54.146:48471
[GIN] 2024/03/22 - 13:06:13 | 403 | 43.155µs | 182.253.54.146 | HEAD “/”
t=2024-03-22T13:09:21+0000 lvl=info msg=“join connections” obj=join id=7422a309842b l=127.0.0.1:11434 r=182.253.54.146:48470
[GIN] 2024/03/22 - 13:09:21 | 403 | 26.499µs | 182.253.54.146 | HEAD “/”
t=2024-03-22T13:13:44+0000 lvl=info msg=“join connections” obj=join id=e3165d9afc0b l=127.0.0.1:11434 r=182.253.54.146:48473
[GIN] 2024/03/22 - 13:13:44 | 403 | 33.77µs | 182.253.54.146 | HEAD “/”””

the next step (according to the instructor) is to copy this url: ““https://afb2-34-87-36-160.ngrok-free.app”” and head over to my local machine that is running ollama. So, i opened Vs Code and opened a terminal and copied the instructions. I was told to do this export an environtment variable for Ollama to know where to connect to the server. The mac instructions are ““export OLLAMA_HOST=https://afb2-34-87-36-160.ngrok-free.app”” and then ““OLLAMA run KTO””. However, when i do the instructions for windows i get this error: “”(base) PS C:\Users\bower> $env:ollama_host = “https://afb2-34-87-36-160.ngrok-free.app/”
(base) PS C:\Users\bower> ollama run kto
Error: something went wrong, please see the ollama server logs for details
(base) PS C:\Users\bower> “” I can post the server log if required.
When you encounter an error after setting the OLLAMA_HOST environment variable on Windows and trying to run an ollama command, there are a few potential issues to consider. The error message suggests that ollama is not able to successfully communicate with the server or there’s an issue on the server side. Here are some steps to troubleshoot and potentially resolve the issue:

### Verify the Environment Variable
First, ensure that the environment variable is correctly set. In PowerShell, after setting it with $env:OLLAMA_HOST = "https://afb2-34-87-36-160.ngrok-free.app/", you can verify it by echoing it back:

echo $env:OLLAMA_HOST


This should return the URL you’ve set. If it doesn’t, then there’s an issue with setting the environment variable.

### Ensure Consistent Environment Variable Naming
In your error description, there’s a discrepancy in case; you’ve used