Update app.py

app.py

@@ -38,109 +38,15 @@ def pronunciation_correction(expected_text, file_info):
 
     return feedback, description
 
-def grammar_check(sentence):
-    # Example implementation of a grammar checker function
-    # Ideally, you would use a grammar checking API or tool
-    # This is a placeholder to show the structure
-    if not sentence.endswith("."):
-        return "Sentence should end with a period."
-    if len(sentence.split()) < 3:
-        return "Sentence is too short. Please provide more details."
-    return "No grammar issues found."
-
-with gr.Blocks() as app:
-    with gr.Column():
-        text_input = gr.Textbox(label="Type your sentence here", lines=5, placeholder="Type here...")
-        grammar_check_button = gr.Button("Check Grammar")
-        grammar_feedback = gr.Textbox(label="Grammar Feedback", 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)")
-
-        grammar_check_button.click(
-            grammar_check,
-            inputs=text_input,
-            outputs=grammar_feedback
-        )
-        
-        check_pronunciation_button.click(
-            pronunciation_correction,
-            inputs=[text_input, audio_input],
-            outputs=[pronunciation_feedback, pronunciation_score]
-        )
-
-app.launch(debug=True)
-# app.py
-
-import gradio as gr
-import speech_recognition as sr
-from Levenshtein import ratio
-import tempfile
-import numpy as np
-import soundfile as sf
-
-def transcribe_audio(file_info):
-    r = sr.Recognizer()
-    with tempfile.NamedTemporaryFile(delete=True, suffix=".wav") as tmpfile:
-        sf.write(tmpfile.name, data=file_info, samplerate=44100, format='WAV')
-        tmpfile.seek(0)
-        with sr.AudioFile(tmpfile.name) as source:
-            audio_data = r.record(source)
-    try:
-        text = r.recognize_google(audio_data)
-        return text
-    except sr.UnknownValueError:
-        return "Could not understand audio"
-    except sr.RequestError as e:
-        return f"Could not request results; {e}"
-
-def pronunciation_correction(expected_text, file_info):
-    user_spoken_text = transcribe_audio(file_info)
-    similarity = ratio(expected_text.lower(), user_spoken_text.lower())
-    description = f"{similarity:.2f}"
-
-    if similarity >= 0.9:
-        feedback = "Excellent pronunciation!"
-    elif similarity >= 0.7:
-        feedback = "Good pronunciation!"
-    elif similarity >= 0.5:
-        feedback = "Needs improvement."
-    else:
-        feedback = "Poor pronunciation, try to focus more on clarity."
-
-    return feedback, description
-
-def grammar_check(sentence):
-    # Example implementation of a grammar checker function
-    # Ideally, you would use a grammar checking API or tool
-    # This is a placeholder to show the structure
-    if not sentence.endswith("."):
-        return "Sentence should end with a period."
-    if len(sentence.split()) < 3:
-        return "Sentence is too short. Please provide more details."
-    return "No grammar issues found."
-
 with gr.Blocks() as app:
     with gr.Column():
         text_input = gr.Textbox(label="Type your sentence here", lines=5, placeholder="Type here...")
-        grammar_check_button = gr.Button("Check Grammar")
-        grammar_feedback = gr.Textbox(label="Grammar Feedback", 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)")
+        pronunciation_feedback = gr.Textbox(label="Pronunciation Feedback", interactive=False)
+        pronunciation_score = gr.Number(label="Pronunciation Accuracy Score: 0 (No Match) ~ 1 (Perfect)", interactive=False)
 
-        grammar_check_button.click(
-            grammar_check,
-            inputs=text_input,
-            outputs=grammar_feedback
-        )
-        
         check_pronunciation_button.click(
             pronunciation_correction,
             inputs=[text_input, audio_input],