| #!/usr/bin/env python3 | |
| """ | |
| Generate Image from Text using Together API Generate Image | |
| ## requirements.txt | |
| click | |
| requests | |
| pillow | |
| piexif | |
| """ |
| #!/bin/sh | |
| # message can come from script args or environment | |
| message=${message:-"${*}"} | |
| model=${model:-"@cf/mistral/mistral-7b-instruct-v0.1"} | |
| system=${system:-"You are a consice AI assistant. You help the user the best you can. If you don't know something, you admin it and ask clarifying questions. Use markdown as needed."} | |
| post_data=$(cat <<JSON | |
| {"messages":[{"role":"system","content":"${system}"},{"role":"user","content":"${message}"}],"max_tokens":10240,"stream":true} | |
| JSON | |
| ) |
| #!/usr/bin/env python3 | |
| """ | |
| Requirements: | |
| pip install click langchain openai | |
| Environment Variables: | |
| OPENAI_API_KEY=... | |
| """ | |
| import sys | |
| import click |
| #!/usr/bin/env python3 | |
| """ | |
| Requirements: | |
| pip install click langchain openai | |
| """ | |
| import sys | |
| import click | |
| from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler | |
| class CustomHandler(StreamingStdOutCallbackHandler): | |
| def on_llm_start(self, serialized, prompts, **_) -> None: |
| import torchaudio | |
| from speechbrain.pretrained import Tacotron2 | |
| from speechbrain.pretrained import HIFIGAN | |
| # Intialize TTS (tacotron2) and Vocoder (HiFIGAN) | |
| tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="tmpdir_tts") | |
| hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder") | |
| # Running the TTS | |
| mel_output, mel_length, alignment = tacotron2.encode_text("This is an open-source toolkit for the development of speech technologies.") |
I want to create a FFT visualization in a single page web app. Please separate the HTMLCSS in JavaScript. The canvas should fill up the entire bottom of the screen. Provide a button at the top to start and stop recording. The FFT should be based on web audio taking microphone recordings.
<!DOCTYPE html>
<html>
<head>| """ | |
| Prompt: Help me create Python script to play connect four against a computer ai opponent. | |
| """ | |
| # Define the game board | |
| board_rows = 6 | |
| board_cols = 7 | |
| # Define the evaluation function for the minimax algorithm | |
| def evaluate_window(window, piece): |
| frames=$(shell ls -tr bouncing-ball/*.png) | |
| bouncing-ball.gif: $(frames) | |
| convert -delay 12 -loop 0 -dispose previous -resize 256x -filter Point $(frames) $@ |
| ( | |
| (imgs, h) => imgs.forEach((i, idx) => { | |
| let l = document.createElement('a'); | |
| l.href=i.src; | |
| l.download=`image-${idx}.png`; | |
| l.innerText=l.download; | |
| h.appendChild(l) | |
| }) | |
| )( | |
| d.querySelectorAll("#jmuse-scroller-component img[alt]"), |