Update spoken_module.py

spoken_module.py

@@ -1,4 +1,3 @@
-
 import gradio as gr
 import uuid
 from gtts import gTTS
@@ -15,13 +14,30 @@ def spoken_dashboard():
         <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>
+            <p>Enter your name, choose a language and goal, 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")
 
+        goal_dropdown = gr.Dropdown(
+            label="🎯 Communication Goal",
+            choices=[
+                "Interview preparation",
+                "Public speaking",
+                "Class presentation",
+                "General improvement"
+            ],
+            value="General improvement"
+        )
+
+        focus_checkboxes = gr.CheckboxGroup(
+            label="🧠 Areas to Focus On",
+            choices=["Clarity", "Structure", "Fluency", "Tone", "Content Relevance"],
+            value=["Clarity", "Structure", "Fluency", "Tone", "Content Relevance"]
+        )
+
         with gr.Row():
             audio_input = gr.Audio(type="filepath", label="🎙 Speak or Upload Audio")
 
@@ -37,20 +53,36 @@ def spoken_dashboard():
         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):
+        def fetch_last_transcript(nickname):
+            if not nickname:
+                return None
+            sessions = fetch_user_sessions(nickname)
+            return sessions[-1].transcript if sessions else None
+
+        def tutor_feedback(audio_file, language, nickname, goal, focus_areas):
             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)
+            previous = fetch_last_transcript(nickname)
+
+            feedback_text = generate_feedback(
+                transcript=transcript,
+                language=language,
+                goal=goal,
+                focus_areas=focus_areas,
+                previous_transcript=previous
+            )
 
             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)
+            if nickname:
+                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]
 
@@ -58,8 +90,9 @@ def spoken_dashboard():
 
         audio_input.change(
             fn=tutor_feedback,
-            inputs=[audio_input, language_dropdown, nickname_box],
-            outputs=[transcript_box, feedback_box, audio_output, hidden_transcript, history_table]
+            inputs=[audio_input, language_dropdown, nickname_box, goal_dropdown, focus_checkboxes],
+            outputs=[transcript_box, feedback_box, audio_output, hidden_transcript, history_table],
+            show_progress="minimal"
         )
 
         try_again.click(fn=lambda: ("", "", None, "", "", []),