HighnessAnnotation commited on
Commit
b544084
·
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1 Parent(s): eccae0e

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +90 -64
app.py CHANGED
@@ -9,16 +9,16 @@ UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
9
  _last_segments = []
10
 
11
  SPEAKER_COLORS = [
12
- ("#4F46E5", "#EEF2FF"),
13
- ("#059669", "#ECFDF5"),
14
- ("#DC2626", "#FEF2F2"),
15
- ("#D97706", "#FFFBEB"),
16
- ("#7C3AED", "#F5F3FF"),
17
- ("#0891B2", "#ECFEFF"),
18
- ("#DB2777", "#FDF2F8"),
19
- ("#65A30D", "#F7FEE7"),
20
- ("#EA580C", "#FFF7ED"),
21
- ("#0284C7", "#F0F9FF"),
22
  ]
23
 
24
  def make_conversation_html(segments):
@@ -26,6 +26,8 @@ def make_conversation_html(segments):
26
  return ""
27
  speaker_list = list(dict.fromkeys(s.speaker for s in segments))
28
  color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
 
 
29
  legend_items = "".join(
30
  f"<span style='display:inline-flex;align-items:center;gap:6px;margin-right:16px'>"
31
  f"<span style='width:12px;height:12px;border-radius:50%;background:{color_map[spk][0]}'></span>"
@@ -33,29 +35,36 @@ def make_conversation_html(segments):
33
  for spk in speaker_list
34
  )
35
  legend = f"<div style='padding:12px 16px;border-bottom:1px solid #e5e7eb;display:flex;flex-wrap:wrap;gap:4px'>{legend_items}</div>"
 
 
36
  bubbles = ""
37
  for seg in segments:
38
  fg, bg = color_map[seg.speaker]
39
  align = "flex-end" if speaker_list.index(seg.speaker) % 2 == 1 else "flex-start"
40
- radius = "4px 16px 16px 16px" if align == "flex-start" else "16px 4px 16px 16px"
41
- ta = "text-align:right;" if align == "flex-end" else ""
42
- bubbles += (
43
- f"<div style='display:flex;justify-content:{align};margin:6px 12px'>"
44
- f"<div style='max-width:75%'>"
45
- f"<div style='font-size:11px;color:#6b7280;margin-bottom:3px;{ta}'>"
46
- f"<span style='font-weight:600;color:{fg}'>Speaker {seg.speaker}</span>"
47
- f" &middot; {seg.start_fmt} &rarr; {seg.end_fmt}</div>"
48
- f"<div style='background:{bg};border:1px solid {fg}30;color:#111827;"
49
- f"padding:10px 14px;border-radius:{radius};font-size:14px;line-height:1.5'>"
50
- f"{seg.text}</div></div></div>"
51
- )
52
- return (
53
- f"<div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;"
54
- f"font-family:system-ui,sans-serif;background:white'>"
55
- f"{legend}"
56
- f"<div style='height:480px;overflow-y:auto;padding:8px 0;background:#f9fafb'>"
57
- f"{bubbles}</div></div>"
58
- )
 
 
 
 
 
59
 
60
  def make_table_html(segments):
61
  if not segments:
@@ -64,42 +73,46 @@ def make_table_html(segments):
64
  color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
65
  rows = "".join(
66
  f"<tr style='border-bottom:1px solid #f3f4f6'>"
67
- f"<td style='padding:8px 12px'><span style='background:{color_map[s.speaker][1]};"
68
- f"color:{color_map[s.speaker][0]};padding:3px 10px;border-radius:99px;"
69
- f"font-weight:700;font-size:13px'>{s.speaker}</span></td>"
70
- f"<td style='padding:8px 12px;color:#6b7280;font-size:13px'>{s.start_fmt}</td>"
71
- f"<td style='padding:8px 12px;color:#6b7280;font-size:13px'>{s.end_fmt}</td>"
72
  f"<td style='padding:8px 12px;font-size:14px;color:#111827'>{s.text}</td>"
73
  f"</tr>"
74
  for s in segments
75
  )
76
- return (
77
- f"<div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;"
78
- f"font-family:system-ui,sans-serif'>"
79
- f"<table style='width:100%;border-collapse:collapse'>"
80
- f"<thead><tr style='background:#1e3a5f;color:white'>"
81
- f"<th style='padding:10px 12px;text-align:left'>Speaker</th>"
82
- f"<th style='padding:10px 12px;text-align:left'>Start</th>"
83
- f"<th style='padding:10px 12px;text-align:left'>End</th>"
84
- f"<th style='padding:10px 12px;text-align:left'>Transcript</th>"
85
- f"</tr></thead><tbody>{rows}</tbody></table></div>"
86
- )
 
 
 
87
 
88
  def process_audio(audio_path, num_speakers):
89
  global _last_segments
90
  if audio_path is None:
91
- return "Please upload an audio file first.", "", ""
92
  try:
93
  pipeline = get_pipeline()
94
  n = int(num_speakers) if num_speakers and int(num_speakers) > 0 else 0
95
  segments = pipeline.process(audio_path, num_speakers=n)
96
  except Exception as e:
97
- return f"Error: {e}\n{traceback.format_exc()}", "", ""
98
  if not segments:
99
- return "No speech detected.", "", ""
100
  _last_segments = segments
101
  unique = len(set(s.speaker for s in segments))
102
- return f"Done - {len(segments)} segments, {unique} speaker(s) detected", make_conversation_html(segments), make_table_html(segments)
 
103
 
104
  def export_json():
105
  if not _last_segments: return None
@@ -113,30 +126,43 @@ def export_csv():
113
  to_csv(_last_segments, out)
114
  return out
115
 
116
- with gr.Blocks(title="Speech Annotation Pipeline") as demo:
117
- gr.Markdown("# Speech Annotation Pipeline\n*Upload audio · Detect speakers · Export transcript*")
 
 
 
 
 
 
 
118
  with gr.Row():
119
  with gr.Column(scale=1):
120
- audio_input = gr.Audio(label="Upload Audio (.wav / .mp3 / .flac)", type="filepath")
121
  num_speakers = gr.Slider(minimum=0, maximum=10, step=1, value=0,
122
- label="Number of speakers (0 = auto-detect)")
123
- run_btn = gr.Button("Run Annotation", variant="primary")
124
  status_box = gr.Textbox(label="Status", value="Ready.", interactive=False)
 
125
  with gr.Row():
126
- json_btn = gr.Button("Export JSON")
127
- csv_btn = gr.Button("Export CSV")
128
- json_file = gr.File(label="JSON Download")
129
- csv_file = gr.File(label="CSV Download")
 
130
  with gr.Column(scale=2):
131
- gr.Markdown("### Conversation View")
132
- 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'>Transcript will appear here after processing</div>")
133
- gr.Markdown("### Segment Table")
 
 
 
134
  table_html = gr.HTML(value="")
135
 
136
- run_btn.click(fn=process_audio, inputs=[audio_input, num_speakers],
 
137
  outputs=[status_box, conversation_html, table_html])
138
  json_btn.click(fn=export_json, inputs=[], outputs=[json_file])
139
- csv_btn.click(fn=export_csv, inputs=[], outputs=[csv_file])
140
 
141
  if __name__ == "__main__":
142
- demo.launch(server_name="0.0.0.0", server_port=7860)
 
9
  _last_segments = []
10
 
11
  SPEAKER_COLORS = [
12
+ ("#4F46E5", "#EEF2FF"), # A - indigo
13
+ ("#059669", "#ECFDF5"), # B - green
14
+ ("#DC2626", "#FEF2F2"), # C - red
15
+ ("#D97706", "#FFFBEB"), # D - amber
16
+ ("#7C3AED", "#F5F3FF"), # E - purple
17
+ ("#0891B2", "#ECFEFF"), # F - cyan
18
+ ("#DB2777", "#FDF2F8"), # G - pink
19
+ ("#65A30D", "#F7FEE7"), # H - lime
20
+ ("#EA580C", "#FFF7ED"), # I - orange
21
+ ("#0284C7", "#F0F9FF"), # J - sky
22
  ]
23
 
24
  def make_conversation_html(segments):
 
26
  return ""
27
  speaker_list = list(dict.fromkeys(s.speaker for s in segments))
28
  color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
29
+
30
+ # Legend
31
  legend_items = "".join(
32
  f"<span style='display:inline-flex;align-items:center;gap:6px;margin-right:16px'>"
33
  f"<span style='width:12px;height:12px;border-radius:50%;background:{color_map[spk][0]}'></span>"
 
35
  for spk in speaker_list
36
  )
37
  legend = f"<div style='padding:12px 16px;border-bottom:1px solid #e5e7eb;display:flex;flex-wrap:wrap;gap:4px'>{legend_items}</div>"
38
+
39
+ # Conversation bubbles
40
  bubbles = ""
41
  for seg in segments:
42
  fg, bg = color_map[seg.speaker]
43
  align = "flex-end" if speaker_list.index(seg.speaker) % 2 == 1 else "flex-start"
44
+ bubbles += f"""
45
+ <div style='display:flex;justify-content:{align};margin:6px 12px'>
46
+ <div style='max-width:75%'>
47
+ <div style='font-size:11px;color:#6b7280;margin-bottom:3px;
48
+ {"text-align:right" if align=="flex-end" else ""}'>
49
+ <span style='font-weight:600;color:{fg}'>Speaker {seg.speaker}</span>
50
+ &nbsp;·&nbsp;{seg.start_fmt} → {seg.end_fmt}
51
+ </div>
52
+ <div style='background:{bg};border:1px solid {fg}30;color:#111827;
53
+ padding:10px 14px;border-radius:{"4px 16px 16px 16px" if align=="flex-start" else "16px 4px 16px 16px"};
54
+ font-size:14px;line-height:1.5'>
55
+ {seg.text}
56
+ </div>
57
+ </div>
58
+ </div>"""
59
+
60
+ return f"""
61
+ <div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;
62
+ font-family:system-ui,sans-serif;background:white'>
63
+ {legend}
64
+ <div style='height:480px;overflow-y:auto;padding:8px 0;background:#f9fafb'>
65
+ {bubbles}
66
+ </div>
67
+ </div>"""
68
 
69
  def make_table_html(segments):
70
  if not segments:
 
73
  color_map = {spk: SPEAKER_COLORS[i % len(SPEAKER_COLORS)] for i, spk in enumerate(speaker_list)}
74
  rows = "".join(
75
  f"<tr style='border-bottom:1px solid #f3f4f6'>"
76
+ f"<td style='padding:8px 12px'>"
77
+ f" <span style='background:{color_map[s.speaker][1]};color:{color_map[s.speaker][0]};"
78
+ f" padding:3px 10px;border-radius:99px;font-weight:700;font-size:13px'> {s.speaker}</span></td>"
79
+ f"<td style='padding:8px 12px;color:#6b7280;font-size:13px;white-space:nowrap'>{s.start_fmt}</td>"
80
+ f"<td style='padding:8px 12px;color:#6b7280;font-size:13px;white-space:nowrap'>{s.end_fmt}</td>"
81
  f"<td style='padding:8px 12px;font-size:14px;color:#111827'>{s.text}</td>"
82
  f"</tr>"
83
  for s in segments
84
  )
85
+ return f"""
86
+ <div style='border:1px solid #e5e7eb;border-radius:12px;overflow:hidden;font-family:system-ui,sans-serif'>
87
+ <table style='width:100%;border-collapse:collapse'>
88
+ <thead>
89
+ <tr style='background:#1e3a5f;color:white'>
90
+ <th style='padding:10px 12px;text-align:left;font-size:13px'>Speaker</th>
91
+ <th style='padding:10px 12px;text-align:left;font-size:13px'>Start</th>
92
+ <th style='padding:10px 12px;text-align:left;font-size:13px'>End</th>
93
+ <th style='padding:10px 12px;text-align:left;font-size:13px'>Transcript</th>
94
+ </tr>
95
+ </thead>
96
+ <tbody>{rows}</tbody>
97
+ </table>
98
+ </div>"""
99
 
100
  def process_audio(audio_path, num_speakers):
101
  global _last_segments
102
  if audio_path is None:
103
+ return "⚠️ Please upload an audio file first.", "", ""
104
  try:
105
  pipeline = get_pipeline()
106
  n = int(num_speakers) if num_speakers and int(num_speakers) > 0 else 0
107
  segments = pipeline.process(audio_path, num_speakers=n)
108
  except Exception as e:
109
+ return f"❌ Error: {e}\n{traceback.format_exc()}", "", ""
110
  if not segments:
111
+ return "⚠️ No speech detected.", "", ""
112
  _last_segments = segments
113
  unique = len(set(s.speaker for s in segments))
114
+ status = f"✅ Done — {len(segments)} segments · {unique} speaker(s) detected"
115
+ return status, make_conversation_html(segments), make_table_html(segments)
116
 
117
  def export_json():
118
  if not _last_segments: return None
 
126
  to_csv(_last_segments, out)
127
  return out
128
 
129
+ css = """
130
+ .gradio-container { max-width: 1100px !important; margin: auto !important; }
131
+ footer { display: none !important; }
132
+ """
133
+
134
+ with gr.Blocks(title="Speech Annotation Pipeline", css=css) as demo:
135
+ gr.Markdown("""# 🎙️ Speech Annotation Pipeline
136
+ *Upload audio · Detect speakers · Export transcript*""")
137
+
138
  with gr.Row():
139
  with gr.Column(scale=1):
140
+ audio_input = gr.Audio(label="Upload Audio (.wav / .mp3 / .flac)", type="filepath")
141
  num_speakers = gr.Slider(minimum=0, maximum=10, step=1, value=0,
142
+ label="Number of speakers (0 = auto-detect)")
143
+ run_btn = gr.Button("▶ Run Annotation", variant="primary", size="lg")
144
  status_box = gr.Textbox(label="Status", value="Ready.", interactive=False)
145
+ gr.Markdown("### 📥 Export")
146
  with gr.Row():
147
+ json_btn = gr.Button("⬇ JSON", size="sm")
148
+ csv_btn = gr.Button("⬇ CSV", size="sm")
149
+ json_file = gr.File(label="JSON Download", visible=True)
150
+ csv_file = gr.File(label="CSV Download", visible=True)
151
+
152
  with gr.Column(scale=2):
153
+ gr.Markdown("### 💬 Conversation View")
154
+ conversation_html = gr.HTML(value="<div style='height:480px;border:1px solid #e5e7eb;"
155
+ "border-radius:12px;display:flex;align-items:center;"
156
+ "justify-content:center;color:#9ca3af;font-family:system-ui'>"
157
+ "Transcript will appear here after processing…</div>")
158
+ gr.Markdown("### 📋 Segment Table")
159
  table_html = gr.HTML(value="")
160
 
161
+ run_btn.click(fn=process_audio,
162
+ inputs=[audio_input, num_speakers],
163
  outputs=[status_box, conversation_html, table_html])
164
  json_btn.click(fn=export_json, inputs=[], outputs=[json_file])
165
+ csv_btn.click(fn=export_csv, inputs=[], outputs=[csv_file])
166
 
167
  if __name__ == "__main__":
168
+ demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)