Abhishek Jindal ajindal1
ajindal1
/ run_model_on_stored_data.py
Created
September 19, 2025 21:15
Running Retrieval from Stored RAG
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| import getpass | |
| import os | |
| if not os.environ.get("OPENAI_API_KEY"): | |
| os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ") | |
| if not os.environ.get("GOOGLE_API_KEY"): | |
| os.environ["GOOGLE_API_KEY"] = getpass.getpass("Enter API key for Google Gemini: ") | |
| from langchain.chat_models import init_chat_model |
ajindal1
/ store_data_Chroma.py
Created
September 19, 2025 21:14
Store Vector Data offline using Chroma
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| import getpass | |
| import os | |
| if not os.environ.get("OPENAI_API_KEY"): | |
| os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ") | |
| if not os.environ.get("GOOGLE_API_KEY"): | |
| os.environ["GOOGLE_API_KEY"] = getpass.getpass("Enter API key for Google Gemini: ") | |
| from langchain.chat_models import init_chat_model |
ajindal1
/ realtime_transcription.py
Created
September 4, 2025 00:05
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| #!/usr/bin/env python3 | |
| """ | |
| Record mic audio → 2s Whisper-ready chunks (file_1.wav, file_2.wav, ...), | |
| optimized to avoid input overflows. | |
| Requires: pip install sounddevice | |
| """ | |
| import argparse | |
| import sys |
ajindal1
/ train_mnist.py
Last active
July 12, 2022 23:35
Sample code for context memory with Torch 1.11.0
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| # The code is from Srijith Rajmohan website and it is present on this link https://srijithr.gitlab.io/post/pytorchdist/ | |
| from __future__ import print_function | |
| import argparse | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| import torch.optim as optim | |
| from torchvision import datasets, transforms | |
| from torch.optim.lr_scheduler import StepLR |