Update app.py

app.py

@@ -8,21 +8,107 @@ UPLOAD_DIR = Path(tempfile.gettempdir()) / "speech_annotation"
 UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
 _last_segments = []
 
+SPEAKER_COLORS = [
+    ("#4F46E5", "#EEF2FF"),  # A - indigo
+    ("#059669", "#ECFDF5"),  # B - green
+    ("#DC2626", "#FEF2F2"),  # C - red
+    ("#D97706", "#FFFBEB"),  # D - amber
+    ("#7C3AED", "#F5F3FF"),  # E - purple
+    ("#0891B2", "#ECFEFF"),  # F - cyan
+]
+
+def make_conversation_html(segments):
+    if not segments:
+        return ""
+    speaker_list = list(dict.fromkeys(s.speaker for s in segments))
+    color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
+
+    # Legend
+    legend_items = "".join(
+        f"<span style='display:inline-flex;align-items:center;gap:6px;margin-right:16px'>"
+        f"<span style='width:12px;height:12px;border-radius:50%;background:{color_map[spk][0]}'></span>"
+        f"<span style='font-weight:600;color:{color_map[spk][0]}'>Speaker {spk}</span></span>"
+        for spk in speaker_list
+    )
+    legend = f"<div style='padding:12px 16px;border-bottom:1px solid #e5e7eb;display:flex;flex-wrap:wrap;gap:4px'>{legend_items}</div>"
+
+    # Conversation bubbles
+    bubbles = ""
+    for seg in segments:
+        fg, bg = color_map[seg.speaker]
+        align = "flex-end" if speaker_list.index(seg.speaker) % 2 == 1 else "flex-start"
+        bubbles += f"""
+        <div style='display:flex;justify-content:{align};margin:6px 12px'>
+          <div style='max-width:75%'>
+            <div style='font-size:11px;color:#6b7280;margin-bottom:3px;
+                        {"text-align:right" if align=="flex-end" else ""}'>
+              <span style='font-weight:600;color:{fg}'>Speaker {seg.speaker}</span>
+              &nbsp;·&nbsp;{seg.start_fmt} → {seg.end_fmt}
+            </div>
+            <div style='background:{bg};border:1px solid {fg}30;color:#111827;
+                        padding:10px 14px;border-radius:{"4px 16px 16px 16px" if align=="flex-start" else "16px 4px 16px 16px"};
+                        font-size:14px;line-height:1.5'>
+              {seg.text}
+            </div>
+          </div>
+        </div>"""
+
+    return f"""
+    <div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;
+                font-family:system-ui,sans-serif;background:white'>
+      {legend}
+      <div style='height:480px;overflow-y:auto;padding:8px 0;background:#f9fafb'>
+        {bubbles}
+      </div>
+    </div>"""
+
+def make_table_html(segments):
+    if not segments:
+        return ""
+    speaker_list = list(dict.fromkeys(s.speaker for s in segments))
+    color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
+    rows = "".join(
+        f"<tr style='border-bottom:1px solid #f3f4f6'>"
+        f"<td style='padding:8px 12px'>"
+        f"  <span style='background:{color_map[s.speaker][1]};color:{color_map[s.speaker][0]};"
+        f"  padding:3px 10px;border-radius:99px;font-weight:700;font-size:13px'>  {s.speaker}</span></td>"
+        f"<td style='padding:8px 12px;color:#6b7280;font-size:13px;white-space:nowrap'>{s.start_fmt}</td>"
+        f"<td style='padding:8px 12px;color:#6b7280;font-size:13px;white-space:nowrap'>{s.end_fmt}</td>"
+        f"<td style='padding:8px 12px;font-size:14px;color:#111827'>{s.text}</td>"
+        f"</tr>"
+        for s in segments
+    )
+    return f"""
+    <div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;font-family:system-ui,sans-serif'>
+      <table style='width:100%;border-collapse:collapse'>
+        <thead>
+          <tr style='background:#1e3a5f;color:white'>
+            <th style='padding:10px 12px;text-align:left;font-size:13px'>Speaker</th>
+            <th style='padding:10px 12px;text-align:left;font-size:13px'>Start</th>
+            <th style='padding:10px 12px;text-align:left;font-size:13px'>End</th>
+            <th style='padding:10px 12px;text-align:left;font-size:13px'>Transcript</th>
+          </tr>
+        </thead>
+        <tbody>{rows}</tbody>
+      </table>
+    </div>"""
+
 def process_audio(audio_path, num_speakers):
     global _last_segments
     if audio_path is None:
-        return "⚠️ Please upload an audio file first.", ""
+        return "⚠️ Please upload an audio file first.", "", ""
     try:
         pipeline = get_pipeline()
         n = int(num_speakers) if num_speakers and int(num_speakers) > 0 else 0
         segments = pipeline.process(audio_path, num_speakers=n)
     except Exception as e:
-        return f"❌ Error: {e}\n{traceback.format_exc()}", ""
+        return f"❌ Error: {e}\n{traceback.format_exc()}", "", ""
     if not segments:
-        return "⚠️ No speech detected.", ""
+        return "⚠️ No speech detected.", "", ""
     _last_segments = segments
     unique = len(set(s.speaker for s in segments))
-    return f"✅ Done — {len(segments)} segments, {unique} speaker(s) detected", to_abab_text(segments)
+    status = f"✅ Done — {len(segments)} segments · {unique} speaker(s) detected"
+    return status, make_conversation_html(segments), make_table_html(segments)
 
 def export_json():
     if not _last_segments: return None
@@ -36,25 +122,43 @@ def export_csv():
     to_csv(_last_segments, out)
     return out
 
-with gr.Blocks(title="Speech Annotation Pipeline") as demo:
-    gr.Markdown("# 🎙️ Speech Annotation Pipeline")
-    audio_input  = gr.Audio(label="Upload Audio (.wav/.mp3/.flac)", type="filepath")
-    num_speakers = gr.Slider(minimum=0, maximum=10, step=1, value=0,
-                             label="Number of speakers (0 = auto-detect)")
-    run_btn    = gr.Button("▶ Run Annotation", variant="primary")
-    status_box = gr.Textbox(label="Status", value="Ready.", interactive=False)
-    abab_box   = gr.Textbox(label="Transcript (ABAB)", lines=15, value="",
-                            placeholder="Annotations will appear here...")
+css = """
+.gradio-container { max-width: 1100px !important; margin: auto !important; }
+footer { display: none !important; }
+"""
+
+with gr.Blocks(title="Speech Annotation Pipeline", css=css) as demo:
+    gr.Markdown("""# 🎙️ Speech Annotation Pipeline
+*Upload audio · Detect speakers · Export transcript*""")
+
     with gr.Row():
-        json_btn = gr.Button("Export JSON")
-        csv_btn  = gr.Button("Export CSV")
-    json_file = gr.File(label="JSON")
-    csv_file  = gr.File(label="CSV")
+        with gr.Column(scale=1):
+            audio_input  = gr.Audio(label="Upload Audio (.wav / .mp3 / .flac)", type="filepath")
+            num_speakers = gr.Slider(minimum=0, maximum=10, step=1, value=0,
+                                     label="Number of speakers  (0 = auto-detect)")
+            run_btn = gr.Button("▶  Run Annotation", variant="primary", size="lg")
+            status_box = gr.Textbox(label="Status", value="Ready.", interactive=False)
+            gr.Markdown("### 📥 Export")
+            with gr.Row():
+                json_btn = gr.Button("⬇ JSON", size="sm")
+                csv_btn  = gr.Button("⬇ CSV",  size="sm")
+            json_file = gr.File(label="JSON Download", visible=True)
+            csv_file  = gr.File(label="CSV Download",  visible=True)
+
+        with gr.Column(scale=2):
+            gr.Markdown("### 💬 Conversation View")
+            conversation_html = gr.HTML(value="<div style='height:480px;border:1px solid #e5e7eb;"
+                                        "border-radius:12px;display:flex;align-items:center;"
+                                        "justify-content:center;color:#9ca3af;font-family:system-ui'>"
+                                        "Transcript will appear here after processing…</div>")
+            gr.Markdown("### 📋 Segment Table")
+            table_html = gr.HTML(value="")
 
-    run_btn.click(fn=process_audio, inputs=[audio_input, num_speakers],
-                  outputs=[status_box, abab_box])
+    run_btn.click(fn=process_audio,
+                  inputs=[audio_input, num_speakers],
+                  outputs=[status_box, conversation_html, table_html])
     json_btn.click(fn=export_json, inputs=[], outputs=[json_file])
-    csv_btn.click(fn=export_csv, inputs=[], outputs=[csv_file])
+    csv_btn.click(fn=export_csv,  inputs=[], outputs=[csv_file])
 
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)