Update spoken_module.py

spoken_module.py

@@ -20,16 +20,12 @@ def generate_feedback(transcript, language, goal="general improvement", focus_ar
 
     prompt = f"""
 You are a supportive communication coach helping a learner whose goal is: **{goal}**.
-
 Evaluate the user's current speech based on the following areas:
 {focus_str}
-
-Give a score out of 10 and a short explanation for each area.
-
+Give a score out of 10 and a short explanation for each area. Ensure they are well formatted.
 Then provide:
-- A summary of strengths and improvement areas.
-- One motivational line to end with.
-
+- A detailed summary of strengths and improvement areas.
+- One motivational line to end with. Do not specifically add motivational keyword, just add the line.
 Transcript:
 {transcript}
 {history_section}
@@ -48,7 +44,6 @@ Transcript:
 def generate_example_response(transcript, language):
     prompt = f"""Rewrite this speech to make it more polished, fluent, and confident.
 Keep the meaning and tone the same, but improve clarity and structure.
-
 Transcript:
 {transcript}
 """
@@ -73,7 +68,7 @@ def spoken_dashboard(nickname_input):
         gr.Markdown("""
         <div id="header" style="text-align: center;">
             <h2>🦉 Meet <strong>Chatter the Owl</strong></h2>
-            <p>Speak and improve your communication with personalized feedback and progress tracking.</p>
+            <p>Speak in your chosen language and get personalized feedback and progress tracking.</p>
         </div>
         """)
 
@@ -105,7 +100,7 @@ def spoken_dashboard(nickname_input):
                 return "", "No audio received.", None, "", [], render_empty_chart("📊 Score Comparison"), render_empty_chart("📈 Tone Progress"), gr.update(visible=False)
 
             if hasattr(nickname, "value"):
-                nickname = nickname.value  # Handle gr.Textbox or gr.State
+                nickname = nickname.value
 
             wav_path = convert_to_wav(audio_file)
             transcript = transcribe_audio(wav_path)
@@ -124,7 +119,8 @@ def spoken_dashboard(nickname_input):
                 milestone = f"🎉 Congrats on completing **{session_count} sessions**!"
                 feedback_text += f"\n\n{milestone}"
 
-            tts = gTTS(feedback_text, lang=LANG_CODES.get(language, "en"))
+            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)
 
@@ -153,4 +149,4 @@ def spoken_dashboard(nickname_input):
                            inputs=[hidden_transcript, language_dropdown],
                            outputs=example_box)
 
-    return spoken_panel
+    return spoken_panel