janakiramm

from huggingface_hub import InferenceClient

client = InferenceClient("http://127.0.0.1:8080")

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_flight_status",
            "description": "Get status of a flight",

janakiramm

import google.generativeai as genai

##The Function get_flight_status is available at https://gist.github.com/janakiramm/2143b909626f5f01d64739e3fe90c9c8

def get_departure_gate(flight:str):
    """Returns Departure Information"""
    return "B11"

model = genai.GenerativeModel(
        model_name='gemini-1.0-pro', 

janakiramm

from openai import OpenAI

#Initialize the environment variable OPENAI_API_KEY with your api key
client = OpenAI()

#Function is available at https://gist.github.com/janakiramm/2143b909626f5f01d64739e3fe90c9c8

tools = [
    {
        "type": "function",

janakiramm

import ast
import json
import random
from datetime import datetime, timedelta
import requests
import pytz

def get_flight_status(flight):
    """Returns Flight Information"""

janakiramm

### Install required modules and set the envvar for Gemini API Key
#pip install google.generativeai
#pip install langchain-google-genai
#pip install langchain
#pip install langchain_community
#pip install jupyter

#export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"

#Import Modules

janakiramm

### Install required modules and set the envvar for Gemini API Key
#pip install pypdf2
#pip install chromadb
#pip install google.generativeai
#pip install langchain-google-genai
#pip install langchain
#pip install langchain_community
#pip install jupyter

#export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"

janakiramm

# The previous part of this tutorial is at https://gist.github.com/janakiramm/55d2d8ec5d14dd45c7e9127d81cdafcd

from vertexai.language_models import TextEmbeddingModel
from google.cloud import aiplatform
import vertexai
from vertexai.preview.generative_models import GenerativeModel, Part
import json
import os

project=”YOUR_GCP_PROJECT”

janakiramm

###Enable Google Cloud APIs and login with your credentials
#gcloud services enable compute.googleapis.com aiplatform.googleapis.com storage.googleapis.com
#gcloud auth application-default login

###Install required Python modules
#pip install pypdf2
#pip install google-cloud-storage
#pip install google-cloud-aiplatform
#pip install jupyter

janakiramm

import pandas as pd
import openai
import chromadb
from chromadb.utils import embedding_functions
import os

df=pd.read_csv('./data/oscars.csv')

df=df.loc[df['year_ceremony'] == 2023]
df=df.dropna(subset=['film'])

janakiramm

import chromadb

phrases=[
    "Amanda baked cookies and will bring Jerry some tomorrow.",
    "Olivia and Olivier are voting for liberals in this election.",
    "Sam is confused, because he overheard Rick complaining about him as a roommate. Naomi thinks Sam should talk to Rick. Sam is not sure what to do.",
    "John's cookies were only half-baked but he still carries them for Mary.",
]

ids=["001","002","003","004"]