Update spoken_module.py

spoken_module.py

@@ -27,7 +27,6 @@ Then provide:
 - 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}
 """.strip()
 
@@ -39,7 +38,16 @@ Transcript:
         ],
         temperature=0.7
     )
-    return response.choices[0].message.content
+    feedback = response.choices[0].message.content
+
+    # Strip the JSON block from the feedback before returning to user
+    try:
+        split_idx = feedback.index('}') + 1
+        feedback_clean = feedback[split_idx:].strip()
+    except:
+        feedback_clean = feedback
+
+    return feedback, feedback_clean
 
 def generate_example_response(transcript, language):
     prompt = f"""Rewrite this speech to make it more polished, fluent, and confident.
@@ -91,8 +99,11 @@ def spoken_dashboard(nickname_input):
 
         example_box = gr.Textbox(label="🗣 Suggested Improvement", visible=True)
         history_table = gr.Dataframe(headers=["🕒 Timestamp", "🌐 Language", "📄 Transcript", "💬 Feedback"])
-        score_chart = gr.Plot(label="📊 Score Comparison")
-        trend_chart = gr.Plot(label="📈 Tone Progress")
+
+        with gr.Row():
+            score_chart = gr.Plot(label="📊 Score Comparison")
+            trend_chart = gr.Plot(label="📈 Tone Progress")
+
         milestone_box = gr.Markdown(visible=False)
 
         def tutor_feedback(audio_file, language, goal, focus_areas, nickname):
@@ -108,34 +119,31 @@ def spoken_dashboard(nickname_input):
             previous_transcript = previous_sessions[-1].transcript if previous_sessions else None
             previous_feedback = previous_sessions[-1].feedback if previous_sessions else None
 
-            feedback_text = generate_feedback(transcript, language, goal, focus_areas, previous_transcript)
-
-            print("GPT FEEDBACK:\n", feedback_text)
-            print("PARSED SCORES:\n", parse_scores_from_feedback(feedback_text))
+            full_feedback, feedback_clean = generate_feedback(transcript, language, goal, focus_areas, previous_transcript)
 
             if previous_feedback:
-                feedback_text += generate_progress_summary(feedback_text, previous_feedback)
+                feedback_clean += generate_progress_summary(full_feedback, previous_feedback)
 
             milestone = ""
             session_count = len(previous_sessions) + 1
             if session_count in [3, 5, 10]:
                 milestone = f"🎉 Congrats on completing **{session_count} sessions**!"
-                feedback_text += f"\n\n{milestone}"
+                feedback_clean += f"\n\n{milestone}"
 
             lang_code = LANG_CODES.get(language, "en")
-            tts = gTTS(feedback_text, lang=lang_code)
+            tts = gTTS(feedback_clean, lang=lang_code)
             mp3_path = f"/tmp/{uuid.uuid4()}.mp3"
             tts.save(mp3_path)
 
-            save_to_db(nickname, transcript, feedback_text, language)
+            save_to_db(nickname, transcript, full_feedback, language)
             sessions = fetch_user_sessions(nickname)
             session_table = [[s.timestamp, s.language, s.transcript[:40], s.feedback[:40]] for s in sessions]
 
-            score_plot = render_score_chart(build_score_comparison_data(feedback_text, previous_feedback)) if previous_feedback else render_empty_chart("📊 Score Comparison")
+            score_plot = render_score_chart(build_score_comparison_data(full_feedback, previous_feedback)) if previous_feedback else render_empty_chart("📊 Score Comparison")
             dates, tone_scores = build_trend_data(sessions, "Tone")
             trend_plot = render_trend_chart(dates, tone_scores, "Tone") if tone_scores else render_empty_chart("📈 Tone Progress")
 
-            return transcript, feedback_text, mp3_path, transcript, session_table, score_plot, trend_plot, gr.update(visible=bool(milestone), value=milestone)
+            return transcript, feedback_clean, mp3_path, transcript, session_table, score_plot, trend_plot, gr.update(visible=bool(milestone), value=milestone)
 
         audio_input.change(
             fn=tutor_feedback,