Create app.py

app.py

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+import gradio as gr
+from tts import generate_tts, LANGUAGES
+from audio_analysis import compare_both, reset_all
+from llm import generate_sentences
+
+
+def gen_sentences_and_audio(topic, n):
+    n = max(1, min(int(n), 3))
+    sentences = generate_sentences(topic, n)
+    sentences_no_quotes = [s.strip().strip('"') for s in sentences]
+    text = "\n".join(sentences_no_quotes)
+    audio = generate_tts(text, LANGUAGES["English (US)"])
+    return text, audio
+
+
+with gr.Blocks() as app:
+    gr.Markdown("## Listen, Record, and Compare Your Pronunciation (in English)")
+
+    with gr.Row():
+        topic_in = gr.Textbox(label="Enter a Topic", value="", interactive=True)
+        n_sentences_in = gr.Number(label="Number of Sentences", value=1, precision=0, minimum=1, maximum=3,interactive=True)
+        gen_text_btn = gr.Button("Generate Sentence(s) and Reference Audio")
+    text_in = gr.Textbox(label="Generated Sentence(s) for Reference Audio", interactive=False)
+    tts_audio = gr.Audio(label="Reference Audio (gTTS)", interactive=False, type="filepath")
+  
+
+    gr.Markdown("**Step 2: Record your version after listening to the reference.**")
+    user_audio = gr.Audio(sources=["microphone"], label="Your Recorded Audio", type="filepath")
+    compare_btn = gr.Button("Compare")
+    reset_btn = gr.Button("Restart / Reset")
+
+
+    table_out = gr.Dataframe(label="Word-by-Word Comparison", visible=True)
+    plot_out = gr.Plot(label="Waveform Comparison Plot")
+  
+    gen_text_btn.click(
+        fn=gen_sentences_and_audio,
+        inputs=[topic_in, n_sentences_in],
+        outputs=[text_in, tts_audio]
+    )
+
+    compare_btn.click(
+        fn=compare_both,
+        inputs=[tts_audio, user_audio],
+        outputs=[plot_out, table_out]
+    )
+    reset_btn.click(
+        fn=reset_all,
+        inputs=[],
+        outputs=[topic_in, text_in, tts_audio, user_audio, plot_out, table_out]
+    )
+
+    
+
+if __name__ == "__main__":
+    app.launch()