feat: Backend for grammer checker

Presently/presently/users/grammerchecker.py

 from happytransformer import HappyTextClassification,TTSettings, HappyTextToText
+import speech_recognition as sr
+import moviepy.editor as mp
 
-def grammerchecker():
+
+def convertText():
+    clip = mp.VideoFileClip(r"F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\media\\video\\22\\publicspeech.mp4")
+    clip.audio.write_audiofile(r"converted_mp3.wav")
+    r = sr.Recognizer()
+    audio =sr.AudioFile(r"converted_mp3.wav")
+    with audio as source:
+        r.pause_threshold = 1
+        r.adjust_for_ambient_noise(source, duration=1)
+        audio_file = r.record(source)  
+    stt = r.recognize_google(audio_file)
+    return stt
+
+def grammerchecker(speechText):
     happy_tt = HappyTextClassification(load_path = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\models\\grammermodels\\")
     beam_settings =  TTSettings(num_beams=5, min_length=1, max_length=500)
     happy_tt = HappyTextToText("T5", "t5-base")
-    example_1 = "Sri Lanka's documented history goes back 3,000 years, with evidence of prehistoric human settlements that dates to at least 125,000 years ago.[14] It has a rich cultural heritage. The earliest known Buddhist writings of Sri Lanka, known collectively as the Pāli canon, date to the fourth Buddhist council, which took place in 29 BCE.[15][16] Sri Lanka's geographic location and deep harbours have made it of great strategic importance, from the earliest days of the ancient Silk Road trade route to today's so-called maritime Silk Road"
+    example_1 = speechText
     result_1 = happy_tt.generate_text(example_1, args=beam_settings)
-    print(result_1.text)
     return(result_1.text)
 
-result = grammerchecker()
+speechText = convertText()
+result = grammerchecker(speechText)