Create app.py

app.py

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+
+import gradio as gr
+from gtts import gTTS
+import speech_recognition as sr
+from difflib import SequenceMatcher
+import tempfile
+import os
+
+def tts(word):
+    tts = gTTS(text=word, lang='en')
+    temp_file_path = tempfile.mktemp(suffix=".mp3")
+    tts.save(temp_file_path)
+    return temp_file_path
+
+def recognize_speech_from_microphone(audio_path):
+    recognizer = sr.Recognizer()
+    try:
+        with sr.AudioFile(audio_path) as source:
+            audio_data = recognizer.record(source)
+            text = recognizer.recognize_google(audio_data)
+            return text
+    except sr.UnknownValueError:
+        return "Could not understand the audio"
+    except sr.RequestError as e:
+        return f"Could not request results from Google Speech Recognition service; {e}"
+    except Exception as e:
+        return str(e)
+
+def calculate_similarity(word, recognized_text):
+    return SequenceMatcher(None, word.lower(), recognized_text.lower()).ratio() * 100
+
+def process_audio(word, audio_path):
+    recognized_text = recognize_speech_from_microphone(audio_path)
+    if "Error" in recognized_text or "Could not" in recognized_text:
+        return recognized_text, 0.0
+    similarity = calculate_similarity(word, recognized_text)
+    return recognized_text, similarity
+
+def evaluate_pronunciation(word):
+    temp_file_path = tts(word)
+    return temp_file_path
+
+def process_all(word, audio_path):
+    recognized_text, similarity = process_audio(word, audio_path)
+    return recognized_text, similarity
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        word_input = gr.Textbox(label="Enter the word for pronunciation")
+        tts_button = gr.Button("Listen to the word")
+    tts_audio = gr.Audio(label="Original Pronunciation", type="filepath")
+
+    with gr.Row():
+        mic_input = gr.Audio(label="Your Pronunciation", type="filepath")
+        result_button = gr.Button("Evaluate Pronunciation")
+
+    recognized_text = gr.Textbox(label="Recognized Text")
+    similarity_score = gr.Number(label="Similarity (%)")
+
+    tts_button.click(evaluate_pronunciation, inputs=word_input, outputs=tts_audio)
+    result_button.click(process_all, inputs=[word_input, mic_input], outputs=[recognized_text, similarity_score])
+
+demo.launch()