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commit
fdb1be411e
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# Required variables:
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export OPENAI_API_KEY=
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export ELEVENLABS_API_KEY=
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export ELEVENLABS_VOICE_ID=
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# Optional variables:
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export ELEVENLABS_STREAMING=
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export PHOTOBOOTH_MODE=
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@ -2,4 +2,5 @@
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/venv
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/narration
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/frames/*
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!/frames/.gitkeep
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!/frames/.gitkeep
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.trunk
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38
README.md
38
README.md
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# David Attenborough narrates your life.
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# David Attenborough narrates your life
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https://twitter.com/charliebholtz/status/1724815159590293764
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## Want to make your own AI app?
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Check out [Replicate](https://replicate.com). We make it easy to run machine learning models with an API.
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## Setup
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@ -20,26 +21,57 @@ Then, install the dependencies:
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Make a [Replicate](https://replicate.com), [OpenAI](https://beta.openai.com/), and [ElevenLabs](https://elevenlabs.io) account and set your tokens:
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```
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```bash
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export OPENAI_API_KEY=<token>
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export ELEVENLABS_API_KEY=<eleven-token>
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```
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Make a new voice in Eleven and get the voice id of that voice using their [get voices](https://elevenlabs.io/docs/api-reference/voices) API, or by clicking the flask icon next to the voice in the VoiceLab tab.
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```
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```bash
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export ELEVENLABS_VOICE_ID=<voice-id>
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```
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## Run it!
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In on terminal, run the webcam capture:
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```bash
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python capture.py
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```
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In another terminal, run the narrator:
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```bash
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python narrator.py
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```
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## Options
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### Setup
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#### Script
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Alternative to running the [Setup](#setup) commands above individually, one can use the `setup.sh` script to facilitate getting the two required shell envs ready to rock.
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_Note: will have to run `source source venv/bin/activate` afterwards to activate the virtual env._
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#### Dotenv
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One can set the environment variables via the `.env` file, which is read every time the process starts. It is recommended to copy the `.env.example` file and rename to `.env`.
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### Streaming
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If you would like the speech to start quicker via a streaming manner set the environment variable to enable. The concession is that the audio and corresponding image is not saved in the `/narration` directory.
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```bash
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export ELEVENLABS_STREAMING=true
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```
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### PhotoBooth
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The default behavior of this app will continually analyze images. If you would like to use in a mode more similar to a photo booth, set the environment variable. In this mode, the image will only be analyzed when the spacebar key is pressed.
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```bash
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export PHOTOBOOTH_MODE=true
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```
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11
capture.py
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capture.py
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import cv2
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import time
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from PIL import Image
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import numpy as np
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import os
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import time
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import cv2
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import numpy as np
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from PIL import Image
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# Folder
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folder = "frames"
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# Resize the image
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max_size = 250
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ratio = max_size / max(pil_img.size)
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new_size = tuple([int(x*ratio) for x in pil_img.size])
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new_size = tuple([int(x * ratio) for x in pil_img.size])
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resized_img = pil_img.resize(new_size, Image.LANCZOS)
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# Convert the PIL image back to an OpenCV image
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130
narrator.py
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narrator.py
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import os
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from openai import OpenAI
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import base64
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import json
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import time
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import simpleaudio as sa
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import errno
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from elevenlabs import generate, play, set_api_key, voices
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import os
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import shutil
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import time
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from dotenv import load_dotenv
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from elevenlabs import generate, play, set_api_key, stream
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from openai import OpenAI
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from pynput import ( # Using pynput to listen for a keypress instead of native keyboard module which was requiring admin privileges
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keyboard,
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)
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# import environment variables from .env file
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load_dotenv()
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client = OpenAI()
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set_api_key(os.environ.get("ELEVENLABS_API_KEY"))
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# Initializes the variables based their respective environment variable values, defaulting to false
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isStreaming = os.environ.get("ELEVENLABS_STREAMING", "false") == "true"
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isPhotoBooth = os.environ.get("PHOTOBOOTH_MODE", "false") == "true"
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script = []
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narrator = "Sir David Attenborough"
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def encode_image(image_path):
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while True:
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try:
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time.sleep(0.1)
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def play_audio(text):
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audio = generate(text, voice=os.environ.get("ELEVENLABS_VOICE_ID"))
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def play_audio(text, dir_path=None):
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audio = generate(
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text,
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voice=os.environ.get("ELEVENLABS_VOICE_ID"),
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model="eleven_turbo_v2",
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stream=isStreaming,
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)
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unique_id = base64.urlsafe_b64encode(os.urandom(30)).decode("utf-8").rstrip("=")
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dir_path = os.path.join("narration", unique_id)
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os.makedirs(dir_path, exist_ok=True)
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if isStreaming:
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# Stream the audio for more real-time responsiveness
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stream(audio)
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return
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# Save the audio file to the directory
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file_path = os.path.join(dir_path, "audio.wav")
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with open(file_path, "wb") as f:
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f.write(audio)
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# Copy the image analyzed to the same directory as the audio file
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image_path = os.path.join(os.getcwd(), "./frames/frame.jpg")
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new_image_path = os.path.join(dir_path, "image.jpg")
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shutil.copy(image_path, new_image_path)
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play(audio)
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "Describe this image"},
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{
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"type": "text",
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"text": f"Describe this image as if you are {narrator}",
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},
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{
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"type": "image_url",
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"image_url": f"data:image/jpeg;base64,{base64_image}",
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messages=[
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{
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"role": "system",
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"content": """
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You are Sir David Attenborough. Narrate the picture of the human as if it is a nature documentary.
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"content": f"""
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You are {narrator}. Narrate the picture of the human as if it is a nature documentary.
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Make it snarky and funny. Don't repeat yourself. Make it short. If I do anything remotely interesting, make a big deal about it!
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""",
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},
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return response_text
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def _main():
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global script
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# path to your image
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image_path = os.path.join(os.getcwd(), "./frames/frame.jpg")
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dir_path = None
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if not isStreaming:
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# create a unique directory to store the audio and image
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unique_id = base64.urlsafe_b64encode(os.urandom(30)).decode("utf-8").rstrip("=")
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dir_path = os.path.join("narration", unique_id)
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os.makedirs(dir_path, exist_ok=True)
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# copy the image to the directory
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new_image_path = os.path.join(dir_path, "image.jpg")
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shutil.copy(image_path, new_image_path)
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image_path = new_image_path
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# getting the base64 encoding
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base64_image = encode_image(image_path)
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# analyze the image
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print(f"👀 {narrator} is watching...")
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analysis = analyze_image(base64_image, script=script)
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print(f"🎙️ {narrator} says:")
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print(analysis)
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# generate and play audio
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play_audio(analysis, dir_path)
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script = script + [{"role": "assistant", "content": analysis}]
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def main():
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script = []
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while True:
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# path to your image
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image_path = os.path.join(os.getcwd(), "./frames/frame.jpg")
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if isPhotoBooth:
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pass
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else:
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_main()
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# getting the base64 encoding
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base64_image = encode_image(image_path)
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# wait for 5 seconds
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time.sleep(5)
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# analyze posture
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print("👀 David is watching...")
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analysis = analyze_image(base64_image, script=script)
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print("🎙️ David says:")
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print(analysis)
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def on_press(key):
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if key == keyboard.Key.space:
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# When space bar is pressed, run the main function which analyzes the image and generates the audio
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_main()
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play_audio(analysis)
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script = script + [{"role": "assistant", "content": analysis}]
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def on_release(key):
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if key == keyboard.Key.esc:
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# Stop listener
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return False
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# wait for 5 seconds
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time.sleep(5)
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# Create a listener
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listener = keyboard.Listener(on_press=on_press, on_release=on_release)
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# Start the listener
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listener.start()
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if isPhotoBooth:
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print(f"Press the spacebar to trigger {narrator}")
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if __name__ == "__main__":
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main()
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pydantic==2.4.2
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pydantic_core==2.10.1
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Pygments==2.16.1
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pynput==1.7.6
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python-dotenv==1.0.0
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requests==2.31.0
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simpleaudio==1.0.4
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six==1.16.0
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typing_extensions==4.8.0
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urllib3==2.0.7
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wcwidth==0.2.10
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websockets==12.0
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websockets==12.0
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@ -0,0 +1,13 @@
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#!/bin/bash
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# create a virtual environment
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python3 -m pip install virtualenv
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python3 -m virtualenv venv
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# source the virtual environment to install dependencies
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source venv/bin/activate
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# install the dependencies
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pip install -r requirements.txt
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echo -e "\n\n\nSetup complete. Run $(source venv/bin/activate) to activate the virtual environment.\n\nAlso, please ensure your environment variables are set correctly in the .env file."
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