Upload spoken_module.py

spoken_module.py

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+
+import gradio as gr
+import uuid
+from gtts import gTTS
+from datetime import datetime
+from sqlmodel import Session
+from app_utils import (
+    model, LANG_CODES, client, save_to_db, fetch_user_sessions,
+    convert_to_wav, transcribe_audio, generate_feedback, generate_example_response
+)
+
+def spoken_dashboard():
+    with gr.Column() as spoken_panel:
+        gr.Markdown("""
+        <div id="header" style="text-align: center;">
+            <img src="file/images/chatter_owl.png" width="120">
+            <h2>🦉 Meet <strong>Chatter the Owl</strong></h2>
+            <p>Enter your name, choose a language, and speak! I’ll help you grow as a communicator.</p>
+        </div>
+        """)
+
+        nickname_box = gr.Textbox(label="👤 Your Nickname", placeholder="Enter your name...")
+        language_dropdown = gr.Dropdown(label="🌍 Select Your Language", choices=list(LANG_CODES.keys()), value="English")
+
+        with gr.Row():
+            audio_input = gr.Audio(type="filepath", label="🎙 Speak or Upload Audio")
+
+        transcript_box = gr.Textbox(label="📖 What You Said", interactive=False)
+        feedback_box = gr.Textbox(label="💡 Chatter’s Feedback", interactive=False)
+        audio_output = gr.Audio(label="🔊 Chatter Speaks", type="filepath")
+        hidden_transcript = gr.Textbox(visible=False)
+
+        with gr.Row():
+            try_again = gr.Button("🔁 Try Again")
+            show_example = gr.Button("🎯 Show Me an Example")
+
+        example_box = gr.Textbox(label="🗣 Suggested Improvement", visible=True, placeholder="Click to generate improved speech...")
+        history_table = gr.Dataframe(headers=["🕒 Timestamp", "🌐 Language", "📝 Transcript (Preview)", "📋 Feedback (Preview)"])
+
+        def tutor_feedback(audio_file, language, nickname):
+            if not audio_file:
+                return "", "No audio received.", None, "", []
+
+            wav_path = convert_to_wav(audio_file)
+            transcript = transcribe_audio(wav_path)
+            feedback_text = generate_feedback(transcript, language)
+
+            lang_code = LANG_CODES.get(language, "en")
+            tts = gTTS(feedback_text, lang=lang_code)
+            mp3_path = f"/tmp/{uuid.uuid4()}.mp3"
+            tts.save(mp3_path)
+
+            save_to_db(nickname, transcript, feedback_text, language)
+            sessions = fetch_user_sessions(nickname)
+            session_table = [[s.timestamp, s.language, s.transcript[:40], s.feedback[:40]] for s in sessions]
+
+            return transcript, feedback_text, mp3_path, transcript, session_table
+
+        audio_input.change(
+            fn=tutor_feedback,
+            inputs=[audio_input, language_dropdown, nickname_box],
+            outputs=[transcript_box, feedback_box, audio_output, hidden_transcript, history_table]
+        )
+
+        try_again.click(fn=lambda: ("", "", None, "", "", []),
+                        inputs=None,
+                        outputs=[transcript_box, feedback_box, audio_output, hidden_transcript, example_box, history_table])
+
+        show_example.click(fn=generate_example_response,
+                           inputs=[hidden_transcript, language_dropdown],
+                           outputs=example_box)
+
+    return spoken_panel