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()
sorry i got no clue
.I have tutoring and appointments and everything 
