| import model |
| def detect_hate_speech(sample): |
| vect = cv.transform(sample).toarray() |
| pred_prob = np.max(model.predict_proba(vect)) |
| pred = model.predict(vect) |
| return pred, pred_prob |
|
|
|
|
| def detect(sample): |
| hatespeech = detect_hate_speech(sample) |
| mp = "Try again" |
| if hatespeech[0] == 0: |
| mp = "Hate Speech Detected" |
| elif hatespeech[0] == 1: |
| mp = "Offensive Language Detected" |
| elif hatespeech[0] == 2: |
| mp = "NO Hate Speech Detected" |
| return mp, hatespeech[1], hatespeech[0] |
|
|
|
|
| def voice_file(file): |
| speech_config = speechsdk.SpeechConfig(subscription=api_key, endpoint=endpoint) |
| speech_config.speech_recognition_language = "en-US" |
| speech_config.set_profanity(speechsdk.ProfanityOption.Raw) |
| audio_config = speechsdk.audio.AudioConfig(filename=file) |
| speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config) |
| speech_recognition_result = speech_recognizer.recognize_once_async().get() |
| if speech_recognition_result.reason == speechsdk.ResultReason.RecognizedSpeech: |
| print(speech_recognition_result.text) |
| return speech_recognition_result.text |
| elif speech_recognition_result.text == "": |
| return "$empty$" |
| elif speech_recognition_result.reason == speechsdk.ResultReason.NoMatch: |
| return speech_recognition_result.no_match_details |
| elif speech_recognition_result.reason == speechsdk.ResultReason.Canceled: |
| cancellation_details = speech_recognition_result.cancellation_details |
| return cancellation_details.reason |
|
|
