Over 166.5 Points basketball predictions tomorrow (2025-12-17)

Cómo seguir los partidos en vivo

Siguiendo estos partidos en vivo no solo te permitirá disfrutar del espectáculo deportivo, sino también ajustar tus estrategias de apuestas según cómo se desarrolle el juego. Aquí te indicamos algunas opciones para seguirlos sin perderte ningún momento:

• Tv tradicional e internet streaming: Muchos canales deportivos transmiten partidos en vivo; alternativamente, plataformas como ESPN+ ofrecen streaming online con acceso a múltiples juegos simultáneamente.
• Servicios móviles: Apliaciones como NBA League Pass permiten seguir todos los partidos desde tu dispositivo móvil, con opciones personalizadas según tus preferencias.
• Sitios web oficiales: Sigue las transmisiones online desde los sitios web oficiales de las ligas o equipos para obtener una experiencia completa con análisis e información adicional durante el juego.
• Narración deportiva: nibran-singhal/krishna<|file_sep|>/src/krishna/web.py from flask import Flask from flask import request from flask import jsonify from flask import render_template import krishna.speech as speech import krishna.wiki as wiki import krishna.audio as audio import krishna.tts as tts import os app = Flask(__name__) @app.route('/text', methods=['POST']) def text(): if request.method == 'POST': text = request.json['text'] return jsonify({'response': speech.recognize(text)}) @app.route('/wiki', methods=['POST']) def wiki_route(): if request.method == 'POST': keyword = request.json['keyword'] return jsonify({'response': wiki.search(keyword)}) @app.route('/') def index(): return render_template('index.html') @app.route('/hello') def hello(): return "Hello World!" @app.route('/upload', methods=['GET', 'POST']) def upload(): if request.method == 'POST': file = request.files['file'] path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'uploads', file.filename) file.save(path) with open(path) as f: audio_data = f.read() response = speech.recognize(audio_data) return render_template('index.html', response=response) return render_template('index.html') @app.route('/tts', methods=['POST']) def tts_route(): if request.method == 'POST': text = request.json['text'] tts.synthesize(text) return jsonify({'response': "success"}) if __name__ == '__main__': app.run(debug=True) <|repo_name|>nibran-singhal/krishna<|file_sep|>/src/krishna/wiki.py import requests def search(keyword): search_url = "https://en.wikipedia.org/w/api.php" search_params = { 'action' : 'query', 'list' : 'search', 'srsearch' : keyword, 'srprop' : 'snippet', 'srlimit' : '1', } response = requests.get(search_url, params=search_params).json() try: pageid = response['query']['search'][0]['pageid'] except: return "I could not find any relevant information on Wikipedia." page_url = "https://en.wikipedia.org/w/api.php" page_params = { 'action' : 'query', 'prop' : 'extracts', 'exintro' : '', 'explaintext' : '', 'pageids' : pageid, } page_response = requests.get(page_url, params=page_params).json() try: page_content = page_response['query']['pages'][str(pageid)]['extract'] except: return "I could not find any relevant information on Wikipedia." return page_content if __name__ == '__main__': print(search("python")) <|repo_name|>nibran-singhal/krishna<|file_sep|>/src/krishna/audio.py import pyaudio import wave CHUNK_SIZE = int(16000 * .01) FORMAT = pyaudio.paInt16 #paInt8 #paInt16 CHANNELS =1 RATE =16000 class AudioRecorder(object): def __init__(self): self.audio_interface = pyaudio.PyAudio() def record(self): stream = self.audio_interface.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK_SIZE) audio_frames = [] print("Listening...") for i in range(0,int(RATE / CHUNK_SIZE *5)): data_chunk = stream.read(CHUNK_SIZE) audio_frames.append(data_chunk) print("Finished Recording") stream.stop_stream() stream.close() self.audio_interface.terminate() wav_output_filename = "output.wav" wave_file = wave.open(wav_output_filename,'wb') wave_file.setnchannels(CHANNELS) wave_file.setsampwidth(self.audio_interface.get_sample_size(FORMAT)) wave_file.setframerate(RATE) wave_file.writeframes(b''.join(audio_frames)) wave_file.close() def record_stream(self): stream = self.audio_interface.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK_SIZE) audio_frames = [] print("Listening...") while True: data_chunk = stream.read(CHUNK_SIZE) audio_frames.append(data_chunk) if len(data_chunk) ==0: break print("Finished Recording") stream.stop_stream() stream.close() self.audio_interface.terminate() wav_output_filename = "output.wav" wave_file = wave.open(wav_output_filename,'wb') wave_file.setnchannels(CHANNELS) wave_file.setsampwidth(self.audio_interface.get_sample_size(FORMAT)) wave_file.setframerate(RATE) wave_file.writeframes(b''.join(audio_frames)) wave_file.close() if __name__ == '__main__': audio_recorder = AudioRecorder() audio_recorder.record_stream() <|repo_name|>nibran-singhal/krishna<|file_sep|>/src/krishna/speech.py import speech_recognition as sr def recognize(audio_data): r=sr.Recognizer() try: with sr.AudioFile(audio_data) as source: audio_text=r.listen(source) text=r.recognize_google(audio_text) return text except: return "Sorry could not recognize your voice" if __name__ == '__main__': print(recognize("output.wav")) <|file_sep|># Krishna Krishna is an intelligent personal assistant built using python and flask. It uses Google speech to text for recognizing voice and google text to speech for synthesizing voice. ## Features - Voice Recognition (Uses Google Speech Recognition API) - Text to Speech (Uses Google Text To Speech API) - Wikipedia Search (Uses Wikipedia API) ## Installation You need to have Python installed on your system to run Krishna. Clone the repository and run the following commands: pip install -r requirements.txt ## Usage Run the following command to start the server: python main.py ## License MIT License Copyright (c) [2018] [Nibran Singhal] Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. <|repo_name|>nibran-singhal/krishna<|file_sep|>/src/main.py from krishna.web import app app.run(debug=True)<|file_sep|># -*- coding: utf-8 -*- # Form implementation generated from reading ui file '/Users/nibran/Documents/GitHub/krishna/src/ui/design.ui' # # Created by: PyQt5 UI code generator 5.10.1 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(791, 454) self.label_4 = QtWidgets.QLabel(Dialog) self.label_4.setGeometry(QtCore.QRect(90, -10, 611, 81)) font = QtGui.QFont() font.setFamily("Bahnschrift Light") font.setPointSize(24) font.setBold(False) font.setItalic(False) font.setWeight(50) self.label_4.setFont(font) self.label_4.setLayoutDirection(QtCore.Qt.LeftToRight) self.label_4.setStyleSheet("color: rgb(255,255,255);n" "background-color: rgba(255,255 ,255 ,0);") self.label_4.setAlignment(QtCore.Qt.AlignCenter) self.label_4.setObjectName("label_4") self.pushButton_3 = QtWidgets.QPushButton(Dialog) self.pushButton_3.setGeometry(QtCore.QRect(270, -20, 251, 71)) font = QtGui.QFont() font.setFamily("Bahnschrift Light") font.setPointSize(14) font.setBold(False) font.setItalic(False) font.setWeight(50) self.pushButton_3.setFont(font) self.pushButton_3.setStyleSheet("background-color: rgba(255 ,255 ,255 ,0);n" "color: rgb(255 ,255 ,255 );n" "border-radius:25px;") self.pushButton_3.setObjectName("pushButton_3") self.textEdit_2 = QtWidgets.QTextEdit(Dialog) self.textEdit_2.setGeometry(QtCore.QRect(30, -20, 221, 71))