rajivmehtaflex

#!/bin/bash

# install_terraform.sh

# Exit immediately if a command exits with a non-zero status
set -e

# Update the package index
echo "Updating package index..."
sudo apt-get update

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import ollama
import json

show_message_tool: dict = {
  "name": "show_message",
  "description": "Display a greeting message with the given parameter",
  "parameters": [
      {
          "name": "param",
          "description": "The parameter to include in the greeting message",

rajivmehtaflex

# %%
# !pip install sqlite-vec
### [Ref Link](https://alexgarcia.xyz/blog/2024/sqlite-vec-stable-release/index.html)
import sqlite3
import sqlite_vec
import numpy as np
import struct

rajivmehtaflex

In Visual Studio Code, the keyboard shortcuts to move to the previous (and next) cursor location are:

For Windows and Linux:

Go to previous location: Ctrl + Alt + - (minus)
Go to next location: Ctrl + Shift + - (minus)
For macOS:

Go to previous location: Ctrl + - (minus)
Go to next location: Ctrl + Shift + - (minus)

rajivmehtaflex

url::Langtrace

pip install langtrace-python-sdk

Must precede any llm module imports

from langtrace_python_sdk import langtrace langtrace.init(api_key = 'd14167f87f6d8eefc3fcdd1acd9ef3eda021bcb95f83f2b4448556cc324507e4')

from langtrace_python_sdk import langtrace

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import gradio as gr

# Define a simple function
def add_numbers(a, b):
    return a + b

# Create a Gradio interface
iface = gr.Interface(fn=add_numbers, inputs=["number", "number"], outputs="number")

# Launch the interface with API enabled

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abacusai
datasets 
huggingface_hub 
langchain 
sentence-transformers 
faiss-cpu 
serpapi 
google-search-results 
openai
langchain 

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Here's the converted text block organized into task-wise categories in Markdown format:

Installing and Configuring Conda

- conda config --set auto_activate_base false
- conda create --name gptexp python=3.10 -y
- conda activate gptexp

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pip install huggingface-hub gradio llama-cpp-python \\n--extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
huggingface-cli login
mkdir models
cd models
huggingface-cli download Qwen/Qwen2-0.5B-Instruct-GGUF \\nqwen2-0_5b-instruct-q5_k_m.gguf \\n--local-dir . --local-dir-use-symlinks False
cd ..
touch server.py

rajivmehtaflex

give me hello-world style code for call language model for gpt-4o.I'm talking about evaluate_prompt base example
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To call a language model for GPT-4O using the evaluate_prompt method, you can use the following example code in Python:

!pip install abacusai
!pip install fsspec
!pip install s3fs

from abacusai import ApiClient