Update app.py

app.py

@@ -4,10 +4,6 @@ from Levenshtein import ratio
 import tempfile
 import numpy as np
 import soundfile as sf
-import language_tool_python
-
-# Initialize LanguageTool for English grammar checking
-tool = language_tool_python.LanguageTool('en-US')
 
 def transcribe_audio(file_info):
     r = sr.Recognizer()
@@ -40,33 +36,29 @@ def pronunciation_correction(expected_text, file_info):
 
     return feedback, description
 
-def grammar_check(text):
-    matches = tool.check(text)
-    corrected_text = tool.correct(text)
-    feedback = "\n".join(f"Line {match.contextOffset}: {match.message}" for match in matches)
-    return corrected_text, feedback
+def validate_sentence(sentence):
+    if not sentence.strip():
+        return "Please enter a sentence."
+    return sentence
 
 with gr.Blocks() as app:
     with gr.Row():
-        sentence_input = gr.Textbox(label="Enter a Sentence", lines=2)
-        check_grammar_button = gr.Button("Check Grammar")
-        corrected_sentence_output = gr.Textbox(label="Corrected Sentence", interactive=False)
-        grammar_feedback = gr.Textbox(label="Grammar Feedback", interactive=False)
-
+        sentence_input = gr.Textbox(label="Enter Your Sentence Here")
+    validated_sentence = gr.Textbox(label="Valid Sentence", interactive=False)
     audio_input = gr.Audio(label="Upload Audio File", type="numpy")
     check_pronunciation_button = gr.Button("Check Pronunciation")
     pronunciation_feedback = gr.Textbox(label="Pronunciation Feedback")
     pronunciation_score = gr.Number(label="Pronunciation Accuracy Score: 0 (No Match) ~ 1 (Perfect)")
 
-    check_grammar_button.click(
-        grammar_check,
+    sentence_input.change(
+        validate_sentence,
         inputs=sentence_input,
-        outputs=[corrected_sentence_output, grammar_feedback]
+        outputs=validated_sentence
     )
-    
+
     check_pronunciation_button.click(
         pronunciation_correction,
-        inputs=[corrected_sentence_output, audio_input],
+        inputs=[validated_sentence, audio_input],
         outputs=[pronunciation_feedback, pronunciation_score]
     )