Class of 2025 (2025 HSC CHAT) (1 Viewer)

Tony Stark

Tony Stark

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Patched together with bubblegum and popsicle sticks, found across the web
CHANNELS variable might have to be changed to match the device number connected to the computer
Python: 
import pyaudio # Soundcard audio I/O access library
import wave # Python 3 module for reading / writing simple .wav files
import speech_recognition as sr
import requests
import time
from googlesearch import search
# import pyttsx3


def speech_search():
    # Setup channel info
    FORMAT = pyaudio.paInt16 # data type formate
    CHANNELS = 1 # Adjust to your number of channels
    RATE = 44100 # Sample Rate
    CHUNK = 1024 # Block Size
    RECORD_SECONDS = 5 # Record time
    WAVE_OUTPUT_FILENAME = "temp.wav"
    # Startup pyaudio instance
    audio = pyaudio.PyAudio()
    # start Recording
    stream = audio.open(format=FORMAT, channels=CHANNELS,
                    rate=RATE, input=True,
                    frames_per_buffer=CHUNK)
    # for x in range(10):
    #     if x <= 3:
    #         print(f'\r Recording{'.'*x}', end="\r")
    #     elif x % 2 and not x % 4 and x > 3:
    #         print(f'\r Recording..', end='\r')
    #     elif x > 3 and x % 4 and x % 2:
    #         print(f'\r Recording.', end='\r')
    #     else:
    #         print('\r Recording...', end='\r')
    print('Recording...')
    frames = []

    # Record for RECORD_SECONDS
    for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
        data = stream.read(CHUNK)
        frames.append(data)
    print("Finished recording")


    # Stop Recording
    stream.stop_stream()
    stream.close()
    audio.terminate()

    # Write your new .wav file with built in Python 3 Wave module
    waveFile = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
    waveFile.setnchannels(CHANNELS)
    waveFile.setsampwidth(audio.get_sample_size(FORMAT))
    waveFile.setframerate(RATE)
    waveFile.writeframes(b''.join(frames))
    waveFile.close()
    r = sr.Recognizer()


    base_url = "https://api.assemblyai.com"
    headers = {
        "authorization": "HELL NAW FIND YOUR OWN KEY"
    }
    # You can upload a local file using the following code
    with open("temp.wav", "rb") as f:
        response = requests.post(base_url + "/v2/upload",
                                headers=headers,
                                data=f)
    audio_url = response.json()["upload_url"]
    data = {
        "audio_url": audio_url,
        "speech_model": "universal"
    }

    url = base_url + "/v2/transcript"
    response = requests.post(url, json=data, headers=headers)
    transcript_id = response.json()['id']
    polling_endpoint = base_url + "/v2/transcript/" + transcript_id
    while True:
        transcription_result = requests.get(polling_endpoint, headers=headers).json()
        transcript_text = transcription_result['text']
        if transcription_result['status'] == 'completed':
            print(f"Transcript Text:", transcript_text)
            break
        elif transcription_result['status'] == 'error':
            raise RuntimeError(f"Transcription failed: {transcription_result['error']}")
        else:
            time.sleep(3)
    query_var = transcript_text
    for j in search(query_var, num_results=10):
        print(j)
    API_URL = "https://router.huggingface.co/hf-inference/models/Qwen/Qwen3-235B-A22B/v1/chat/completions"
    headers = {
        "Authorization": "Bearer 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",
    }

    def query(payload):
        response = requests.post(API_URL, headers=headers, json=payload)
        return response.json()

    response = query({
        "messages": [
            {
                "role": "user",
                "content": query_var
            }
        ],
        "max_tokens": 512,
        "model": "llama-3.3-70b"
    })
    #print(response["choices"][0]["message"])
    #return_text = response["choices"][0]["message"]["content"]
    print(response)
    print('done')
    url = f"https://translate.google.com/translate_tts?ie=UTF-8&client=tw-ob&q={query_var}&tl=en"
    response = requests.get(url)
    with open("output.mp3", "wb") as f:
        f.write(response.content)
    # engine = pyttsx3.init()
    # engine.say(response)
    # engine.runAndWait()

speech_search()
 
svad

svad

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yenisei said:
i meant like a not enough of a symbolic interpretation
Click to expand...
yeah i dont think just quotes will cut it. The entire point of the mod is to know why good writing is considered 'good writing' and thats done through its use of language and techniques to send a message.
 
alphxreturns

alphxreturns

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at what point do we start telling the 2025'ers who will come in a few months and ask if their atar is cooked, that they are actually cooked and the 'comeback' is almost impossible? i know at least someone will only decide to seek help right before/after trials, its inevitable
 
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