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Update app.py
Browse files
app.py
CHANGED
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@@ -1,4 +1,3 @@
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import os
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from huggingface_hub import login
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@@ -10,41 +9,29 @@ import torch.nn.functional as F
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from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
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import whisper
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import pickle
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#
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model_path = "InfoBayAI/Audio-to-Sentiment_Intelligence_Model"
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tokenizer = DistilBertTokenizer.from_pretrained(
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model_path,
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token=os.getenv("HF_TOKEN")
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)
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model = DistilBertForSequenceClassification.from_pretrained(
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model_path,
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token=os.getenv("HF_TOKEN")
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)
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from huggingface_hub import hf_hub_download
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label_path = hf_hub_download(
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repo_id=model_path,
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filename="label_encoder.pkl",
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token=os.getenv("HF_TOKEN")
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)
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tokenizer = DistilBertTokenizer.from_pretrained(model_path)
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model = DistilBertForSequenceClassification.from_pretrained(model_path)
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from huggingface_hub import hf_hub_download
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label_path = hf_hub_download(
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repo_id="InfoBayAI/Audio-to-Sentiment_Intelligence_Model",
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filename="label_encoder.pkl",
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token=os.getenv("HF_TOKEN")
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)
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with open(label_path, "rb") as f:
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encoder = pickle.load(f)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model.to(device)
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model.eval()
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@@ -53,7 +40,7 @@ model.eval()
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whisper_model = whisper.load_model("base")
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#
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def predict_sentiment(text):
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inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=128)
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inputs = {k: v.to(device) for k, v in inputs.items()}
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@@ -66,301 +53,568 @@ def predict_sentiment(text):
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label = encoder.inverse_transform([predicted_class.item()])[0]
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confidence = confidence.item() * 100
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return label, confidence
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#
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def process_audio(audio_file):
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if audio_file is None:
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return "⚠️
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#
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APP_CSS = """
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def create_interface():
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with gr.Blocks() as interface:
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gr.HTML("
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with gr.Row(equal_height=False):
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# ──
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with gr.Column(scale=1, elem_classes="
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gr.Markdown("## 🎤 Input Panel")
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# Upload
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gr.HTML("<div class='hint'>📁
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upload_audio = gr.Audio(
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sources=["upload"],
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type="filepath",
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label="Upload Audio File",
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elem_classes="audio-wrap",
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)
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upload_btn = gr.Button("🚀 Analyze Uploaded Audio", variant="primary")
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gr.HTML("<hr class='divider'>")
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# Record
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gr.HTML("<div class='hint'>🎙️
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record_audio = gr.Audio(
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sources=["microphone"],
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type="filepath",
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label="
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elem_classes="audio-wrap",
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)
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record_btn = gr.Button("🎙️ Analyze Recorded Audio", variant="primary")
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gr.HTML("<hr class='divider'>")
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with gr.Row(elem_classes="
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clear_btn = gr.Button("🧹
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# ──
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with gr.Column(scale=2, elem_classes="
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gr.Markdown("## 📊 Result Panel")
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output_text = gr.Textbox(
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lines=
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label="Analysis Result",
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placeholder=
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)
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with gr.Row(elem_classes="
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clear_result_btn = gr.Button("🧹
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# ──
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upload_btn.click(fn=process_audio, inputs=upload_audio, outputs=output_text)
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record_btn.click(fn=process_audio, inputs=record_audio, outputs=output_text)
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inputs=[],
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outputs=[upload_audio, record_audio, output_text]
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)
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clear_result_btn.click(
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fn=lambda: "
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inputs=[],
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outputs=output_text
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)
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return interface
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#
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if __name__ == "__main__":
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interface = create_interface()
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interface.launch(
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share=True,
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css=APP_CSS,
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theme=gr.themes.Base(),
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)
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import os
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from huggingface_hub import login
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from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
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import whisper
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import pickle
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from huggingface_hub import hf_hub_download
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+
# ── Model Loading ──────────────────────────────────────────
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model_path = "InfoBayAI/Audio-to-Sentiment_Intelligence_Model"
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tokenizer = DistilBertTokenizer.from_pretrained(
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model_path,
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token=os.getenv("HF_TOKEN")
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)
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model = DistilBertForSequenceClassification.from_pretrained(
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model_path,
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token=os.getenv("HF_TOKEN")
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)
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label_path = hf_hub_download(
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repo_id=model_path,
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filename="label_encoder.pkl",
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token=os.getenv("HF_TOKEN")
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)
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| 32 |
with open(label_path, "rb") as f:
|
| 33 |
encoder = pickle.load(f)
|
| 34 |
+
|
| 35 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 36 |
model.to(device)
|
| 37 |
model.eval()
|
|
|
|
| 40 |
whisper_model = whisper.load_model("base")
|
| 41 |
|
| 42 |
|
| 43 |
+
# ── Sentiment Prediction ───────────────────────────────────
|
| 44 |
def predict_sentiment(text):
|
| 45 |
inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=128)
|
| 46 |
inputs = {k: v.to(device) for k, v in inputs.items()}
|
|
|
|
| 53 |
|
| 54 |
label = encoder.inverse_transform([predicted_class.item()])[0]
|
| 55 |
confidence = confidence.item() * 100
|
|
|
|
| 56 |
return label, confidence
|
| 57 |
|
| 58 |
|
| 59 |
+
# ── Main Pipeline ──────────────────────────────────────────
|
| 60 |
def process_audio(audio_file):
|
| 61 |
if audio_file is None:
|
| 62 |
+
return "⚠️ No audio provided.\n\nPlease upload a file or record audio using your microphone, then click Analyze."
|
| 63 |
+
|
| 64 |
+
try:
|
| 65 |
+
# Transcribe full audio — do NOT pass trim timestamps
|
| 66 |
+
result = whisper_model.transcribe(audio_file, task="translate")
|
| 67 |
+
text = result["text"].strip()
|
| 68 |
+
|
| 69 |
+
if not text:
|
| 70 |
+
return "⚠️ Could not transcribe any speech from the audio.\n\nPlease ensure the audio contains clear speech."
|
| 71 |
+
|
| 72 |
+
label, confidence = predict_sentiment(text)
|
| 73 |
+
|
| 74 |
+
# Confidence bar (ASCII)
|
| 75 |
+
filled = int(confidence / 5)
|
| 76 |
+
bar = "█" * filled + "░" * (20 - filled)
|
| 77 |
+
|
| 78 |
+
sentiment_emoji = {
|
| 79 |
+
"positive": "😊", "negative": "😞", "neutral": "😐",
|
| 80 |
+
"happy": "😄", "sad": "😢", "angry": "😠", "fear": "😨",
|
| 81 |
+
"surprise": "😲", "disgust": "🤢"
|
| 82 |
+
}.get(label.lower(), "🎯")
|
| 83 |
+
|
| 84 |
+
return (
|
| 85 |
+
f"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
|
| 86 |
+
f" 🎯 TRANSCRIPTION\n"
|
| 87 |
+
f"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n"
|
| 88 |
+
f"{text}\n\n"
|
| 89 |
+
f"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
|
| 90 |
+
f" {sentiment_emoji} SENTIMENT ANALYSIS\n"
|
| 91 |
+
f"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n"
|
| 92 |
+
f" Sentiment : {label.upper()}\n"
|
| 93 |
+
f" Confidence : {confidence:.1f}%\n\n"
|
| 94 |
+
f" [{bar}]\n"
|
| 95 |
+
)
|
| 96 |
|
| 97 |
+
except Exception as e:
|
| 98 |
+
return f"❌ Error during processing:\n\n{str(e)}\n\nPlease try again with a different audio file."
|
| 99 |
|
| 100 |
|
| 101 |
+
# ── CSS ────────────────────────────────────────────────────
|
| 102 |
APP_CSS = """
|
| 103 |
+
/* ━━━━ GOOGLE FONTS ━━━━ */
|
| 104 |
+
@import url('https://fonts.googleapis.com/css2?family=Space+Mono:wght@400;700&family=Syne:wght@400;600;700;800&display=swap');
|
| 105 |
+
|
| 106 |
+
/* ━━━━ RESET & ROOT ━━━━ */
|
| 107 |
+
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
|
| 108 |
+
|
| 109 |
+
:root {
|
| 110 |
+
--bg-base: #080810;
|
| 111 |
+
--bg-surface: #0f0f1c;
|
| 112 |
+
--bg-card: #13132a;
|
| 113 |
+
--bg-element: #1a1a35;
|
| 114 |
+
--border: #252540;
|
| 115 |
+
--border-glow: #4f3fbf;
|
| 116 |
+
--accent: #7c5cfc;
|
| 117 |
+
--accent-light: #a78bfa;
|
| 118 |
+
--accent-dim: #3d2d8a;
|
| 119 |
+
--text-primary: #e8e4ff;
|
| 120 |
+
--text-muted: #7870a8;
|
| 121 |
+
--text-dim: #3d3a6e;
|
| 122 |
+
--success: #34d399;
|
| 123 |
+
--danger: #f87171;
|
| 124 |
+
--font-display: 'Syne', sans-serif;
|
| 125 |
+
--font-mono: 'Space Mono', monospace;
|
| 126 |
+
--radius-sm: 8px;
|
| 127 |
+
--radius-md: 14px;
|
| 128 |
+
--radius-lg: 20px;
|
| 129 |
+
--shadow-glow: 0 0 30px rgba(124, 92, 252, 0.15);
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
/* ━━━━ BODY & CONTAINER ━━━━ */
|
| 133 |
+
body,
|
| 134 |
+
.gradio-container,
|
| 135 |
+
.gradio-container > * {
|
| 136 |
+
background-color: var(--bg-base) !important;
|
| 137 |
+
font-family: var(--font-display) !important;
|
| 138 |
+
color: var(--text-primary) !important;
|
| 139 |
+
}
|
| 140 |
+
|
| 141 |
+
.gradio-container {
|
| 142 |
+
max-width: 1400px !important;
|
| 143 |
+
width: 100% !important;
|
| 144 |
+
min-height: 100vh !important;
|
| 145 |
+
margin: 0 auto !important;
|
| 146 |
+
padding: 32px 24px 60px !important;
|
| 147 |
+
}
|
| 148 |
+
|
| 149 |
+
/* ━━━━ HEADER ━━━━ */
|
| 150 |
+
.app-header {
|
| 151 |
+
text-align: center;
|
| 152 |
+
padding: 40px 0 32px;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.app-header h1 {
|
| 156 |
+
font-family: var(--font-display) !important;
|
| 157 |
+
font-size: clamp(28px, 4vw, 48px) !important;
|
| 158 |
+
font-weight: 800 !important;
|
| 159 |
+
color: var(--text-primary) !important;
|
| 160 |
+
letter-spacing: -1px !important;
|
| 161 |
+
line-height: 1.1 !important;
|
| 162 |
+
margin-bottom: 12px !important;
|
| 163 |
+
}
|
| 164 |
+
|
| 165 |
+
.app-header h1 span { color: var(--accent-light); }
|
| 166 |
+
|
| 167 |
+
.app-subtitle {
|
| 168 |
+
color: var(--text-muted);
|
| 169 |
+
font-family: var(--font-mono);
|
| 170 |
+
font-size: 13px;
|
| 171 |
+
letter-spacing: 0.5px;
|
| 172 |
+
padding: 6px 16px;
|
| 173 |
+
border: 1px solid var(--border);
|
| 174 |
+
border-radius: 100px;
|
| 175 |
+
display: inline-block;
|
| 176 |
+
background: var(--bg-surface);
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
/* ━━━━ LAYOUT ROW ━━━━ */
|
| 180 |
+
.main-row {
|
| 181 |
+
gap: 20px !important;
|
| 182 |
+
align-items: stretch !important;
|
| 183 |
+
}
|
| 184 |
+
|
| 185 |
+
/* ━━━━ PANELS ━━━━ */
|
| 186 |
+
.panel-input,
|
| 187 |
+
.panel-output {
|
| 188 |
+
background: var(--bg-card) !important;
|
| 189 |
+
border: 1px solid var(--border) !important;
|
| 190 |
+
border-radius: var(--radius-lg) !important;
|
| 191 |
+
padding: 28px !important;
|
| 192 |
+
box-shadow: var(--shadow-glow) !important;
|
| 193 |
+
display: flex !important;
|
| 194 |
+
flex-direction: column !important;
|
| 195 |
+
gap: 0 !important;
|
| 196 |
+
}
|
| 197 |
+
|
| 198 |
+
.panel-input { flex: 1 !important; min-width: 360px !important; }
|
| 199 |
+
.panel-output { flex: 1.6 !important; min-width: 420px !important; }
|
| 200 |
+
|
| 201 |
+
/* ━━━━ SECTION HEADINGS ━━━━ */
|
| 202 |
+
.panel-input h2,
|
| 203 |
+
.panel-output h2 {
|
| 204 |
+
font-family: var(--font-display) !important;
|
| 205 |
+
font-size: 15px !important;
|
| 206 |
+
font-weight: 700 !important;
|
| 207 |
+
color: var(--text-muted) !important;
|
| 208 |
+
text-transform: uppercase !important;
|
| 209 |
+
letter-spacing: 2px !important;
|
| 210 |
+
margin-bottom: 20px !important;
|
| 211 |
+
padding-bottom: 12px !important;
|
| 212 |
+
border-bottom: 1px solid var(--border) !important;
|
| 213 |
+
}
|
| 214 |
+
|
| 215 |
+
/* ━━━━ HINT LABELS ━━━━ */
|
| 216 |
+
.hint-label {
|
| 217 |
+
font-family: var(--font-mono);
|
| 218 |
+
font-size: 11px;
|
| 219 |
+
color: var(--text-muted);
|
| 220 |
+
letter-spacing: 0.5px;
|
| 221 |
+
margin-bottom: 8px;
|
| 222 |
+
margin-top: 4px;
|
| 223 |
+
}
|
| 224 |
+
|
| 225 |
+
/* ━━━━ AUDIO COMPONENTS — THE CRITICAL FIX ━━━━ */
|
| 226 |
+
|
| 227 |
+
/* Outer wrapper Gradio creates */
|
| 228 |
+
.audio-component-wrap {
|
| 229 |
+
width: 100% !important;
|
| 230 |
+
margin-bottom: 16px !important;
|
| 231 |
+
}
|
| 232 |
+
|
| 233 |
+
/* Kill ALL overflow:hidden on audio internals */
|
| 234 |
+
.audio-component-wrap *,
|
| 235 |
+
[data-testid="audio"],
|
| 236 |
+
[data-testid="audio"] *,
|
| 237 |
+
.waveform-container,
|
| 238 |
+
.waveform-container *,
|
| 239 |
+
.waveform-controls,
|
| 240 |
+
.waveform-controls * {
|
| 241 |
+
overflow: visible !important;
|
| 242 |
+
}
|
| 243 |
+
|
| 244 |
+
/* The main audio block */
|
| 245 |
+
[data-testid="audio"],
|
| 246 |
+
.gr-audio,
|
| 247 |
+
.audio-wrap > div {
|
| 248 |
+
background: var(--bg-element) !important;
|
| 249 |
+
border: 1px solid var(--border) !important;
|
| 250 |
+
border-radius: var(--radius-md) !important;
|
| 251 |
+
padding: 0 !important;
|
| 252 |
+
width: 100% !important;
|
| 253 |
+
overflow: visible !important;
|
| 254 |
+
}
|
| 255 |
+
|
| 256 |
+
/* Waveform canvas area — give it proper height */
|
| 257 |
+
.waveform-container canvas,
|
| 258 |
+
[class*="waveform"] canvas {
|
| 259 |
+
width: 100% !important;
|
| 260 |
+
min-height: 80px !important;
|
| 261 |
+
display: block !important;
|
| 262 |
+
border-radius: var(--radius-sm) var(--radius-sm) 0 0 !important;
|
| 263 |
+
}
|
| 264 |
+
|
| 265 |
+
/* Controls toolbar row — MUST NOT clip */
|
| 266 |
+
.waveform-controls,
|
| 267 |
+
[class*="controls"],
|
| 268 |
+
.audio-controls,
|
| 269 |
+
[data-testid="waveform-controls"] {
|
| 270 |
+
display: flex !important;
|
| 271 |
+
flex-direction: row !important;
|
| 272 |
+
flex-wrap: nowrap !important;
|
| 273 |
+
align-items: center !important;
|
| 274 |
+
gap: 6px !important;
|
| 275 |
+
padding: 10px 12px !important;
|
| 276 |
+
background: var(--bg-card) !important;
|
| 277 |
+
border-top: 1px solid var(--border) !important;
|
| 278 |
+
border-radius: 0 0 var(--radius-md) var(--radius-md) !important;
|
| 279 |
+
width: 100% !important;
|
| 280 |
+
min-height: 52px !important;
|
| 281 |
+
overflow: visible !important;
|
| 282 |
+
}
|
| 283 |
+
|
| 284 |
+
/* Time labels */
|
| 285 |
+
.waveform-controls span,
|
| 286 |
+
[class*="time"],
|
| 287 |
+
[class*="timestamp"] {
|
| 288 |
+
font-family: var(--font-mono) !important;
|
| 289 |
+
font-size: 11px !important;
|
| 290 |
+
color: var(--text-muted) !important;
|
| 291 |
+
white-space: nowrap !important;
|
| 292 |
+
flex-shrink: 0 !important;
|
| 293 |
+
}
|
| 294 |
+
|
| 295 |
+
/* ALL icon/control buttons in audio toolbar */
|
| 296 |
+
.waveform-controls button,
|
| 297 |
+
.audio-controls button,
|
| 298 |
+
[data-testid="audio"] button,
|
| 299 |
+
[class*="icon-button"],
|
| 300 |
+
[class*="control-button"],
|
| 301 |
+
[class*="audio-button"] {
|
| 302 |
+
background: var(--bg-surface) !important;
|
| 303 |
+
border: 1px solid var(--border) !important;
|
| 304 |
+
color: var(--accent-light) !important;
|
| 305 |
+
border-radius: var(--radius-sm) !important;
|
| 306 |
+
width: 32px !important;
|
| 307 |
+
height: 32px !important;
|
| 308 |
+
min-width: 32px !important;
|
| 309 |
+
min-height: 32px !important;
|
| 310 |
+
max-width: 32px !important;
|
| 311 |
+
max-height: 32px !important;
|
| 312 |
+
padding: 0 !important;
|
| 313 |
+
display: flex !important;
|
| 314 |
+
align-items: center !important;
|
| 315 |
+
justify-content: center !important;
|
| 316 |
+
cursor: pointer !important;
|
| 317 |
+
flex-shrink: 0 !important;
|
| 318 |
+
transition: background 0.15s, border-color 0.15s !important;
|
| 319 |
+
}
|
| 320 |
+
|
| 321 |
+
.waveform-controls button:hover,
|
| 322 |
+
.audio-controls button:hover,
|
| 323 |
+
[data-testid="audio"] button:hover {
|
| 324 |
+
background: var(--accent-dim) !important;
|
| 325 |
+
border-color: var(--accent) !important;
|
| 326 |
+
}
|
| 327 |
+
|
| 328 |
+
/* SVG icons inside buttons */
|
| 329 |
+
.waveform-controls button svg,
|
| 330 |
+
.audio-controls button svg,
|
| 331 |
+
[data-testid="audio"] button svg {
|
| 332 |
+
width: 14px !important;
|
| 333 |
+
height: 14px !important;
|
| 334 |
+
fill: currentColor !important;
|
| 335 |
+
stroke: currentColor !important;
|
| 336 |
+
flex-shrink: 0 !important;
|
| 337 |
+
}
|
| 338 |
+
|
| 339 |
+
/* Play button — slightly larger accent */
|
| 340 |
+
[data-testid="play-pause-button"],
|
| 341 |
+
[aria-label="Play"],
|
| 342 |
+
[aria-label="Pause"] {
|
| 343 |
+
background: var(--accent) !important;
|
| 344 |
+
border-color: var(--accent) !important;
|
| 345 |
+
color: #fff !important;
|
| 346 |
+
width: 36px !important;
|
| 347 |
+
height: 36px !important;
|
| 348 |
+
min-width: 36px !important;
|
| 349 |
+
max-width: 36px !important;
|
| 350 |
+
border-radius: 50% !important;
|
| 351 |
+
}
|
| 352 |
+
|
| 353 |
+
/* Speed badge */
|
| 354 |
+
[class*="speed"],
|
| 355 |
+
[aria-label*="speed"],
|
| 356 |
+
[aria-label*="Speed"] {
|
| 357 |
+
font-family: var(--font-mono) !important;
|
| 358 |
+
font-size: 10px !important;
|
| 359 |
+
min-width: 36px !important;
|
| 360 |
+
max-width: 36px !important;
|
| 361 |
+
padding: 0 4px !important;
|
| 362 |
+
letter-spacing: 0 !important;
|
| 363 |
+
}
|
| 364 |
+
|
| 365 |
+
/* Upload drag area */
|
| 366 |
+
[data-testid="audio"] .upload-container,
|
| 367 |
+
[data-testid="audio"] .empty-state,
|
| 368 |
+
.audio-component-wrap .upload-container {
|
| 369 |
+
background: var(--bg-element) !important;
|
| 370 |
+
border: 2px dashed var(--border-glow) !important;
|
| 371 |
+
border-radius: var(--radius-md) !important;
|
| 372 |
+
min-height: 100px !important;
|
| 373 |
+
display: flex !important;
|
| 374 |
+
flex-direction: column !important;
|
| 375 |
+
align-items: center !important;
|
| 376 |
+
justify-content: center !important;
|
| 377 |
+
color: var(--text-muted) !important;
|
| 378 |
+
font-family: var(--font-mono) !important;
|
| 379 |
+
font-size: 12px !important;
|
| 380 |
+
cursor: pointer !important;
|
| 381 |
+
transition: border-color 0.2s, background 0.2s !important;
|
| 382 |
+
}
|
| 383 |
+
|
| 384 |
+
.audio-component-wrap .upload-container:hover {
|
| 385 |
+
border-color: var(--accent) !important;
|
| 386 |
+
background: rgba(124, 92, 252, 0.06) !important;
|
| 387 |
+
}
|
| 388 |
+
|
| 389 |
+
/* ━━━━ DIVIDER ━━━━ */
|
| 390 |
+
.section-divider {
|
| 391 |
+
border: none !important;
|
| 392 |
+
border-top: 1px solid var(--border) !important;
|
| 393 |
+
margin: 22px 0 !important;
|
| 394 |
+
}
|
| 395 |
+
|
| 396 |
+
/* ━━━━ ANALYZE BUTTONS ━━━━ */
|
| 397 |
+
.btn-analyze {
|
| 398 |
+
width: 100% !important;
|
| 399 |
+
padding: 13px 20px !important;
|
| 400 |
+
font-family: var(--font-display) !important;
|
| 401 |
+
font-size: 14px !important;
|
| 402 |
+
font-weight: 700 !important;
|
| 403 |
+
letter-spacing: 0.5px !important;
|
| 404 |
+
color: #fff !important;
|
| 405 |
+
background: linear-gradient(135deg, var(--accent-dim), var(--accent)) !important;
|
| 406 |
+
border: none !important;
|
| 407 |
+
border-radius: var(--radius-md) !important;
|
| 408 |
+
cursor: pointer !important;
|
| 409 |
+
transition: opacity 0.2s, transform 0.1s, box-shadow 0.2s !important;
|
| 410 |
+
box-shadow: 0 4px 20px rgba(124, 92, 252, 0.3) !important;
|
| 411 |
+
margin-bottom: 4px !important;
|
| 412 |
+
}
|
| 413 |
+
|
| 414 |
+
/* Catch all Gradio primary button variants */
|
| 415 |
+
button.lg,
|
| 416 |
+
button[class*="primary"],
|
| 417 |
+
.svelte-cmf5ev,
|
| 418 |
+
[data-testid*="analyze"] {
|
| 419 |
+
background: linear-gradient(135deg, var(--accent-dim), var(--accent)) !important;
|
| 420 |
+
color: #fff !important;
|
| 421 |
+
border: none !important;
|
| 422 |
+
border-radius: var(--radius-md) !important;
|
| 423 |
+
font-family: var(--font-display) !important;
|
| 424 |
+
font-size: 14px !important;
|
| 425 |
+
font-weight: 700 !important;
|
| 426 |
+
padding: 13px 20px !important;
|
| 427 |
+
width: 100% !important;
|
| 428 |
+
cursor: pointer !important;
|
| 429 |
+
box-shadow: 0 4px 20px rgba(124, 92, 252, 0.3) !important;
|
| 430 |
+
transition: opacity 0.2s, transform 0.1s !important;
|
| 431 |
+
margin-bottom: 4px !important;
|
| 432 |
+
}
|
| 433 |
+
|
| 434 |
+
button.lg:hover,
|
| 435 |
+
button[class*="primary"]:hover {
|
| 436 |
+
opacity: 0.88 !important;
|
| 437 |
+
transform: translateY(-1px) !important;
|
| 438 |
+
box-shadow: 0 6px 28px rgba(124, 92, 252, 0.45) !important;
|
| 439 |
+
}
|
| 440 |
+
|
| 441 |
+
button.lg:active { transform: translateY(0) !important; }
|
| 442 |
+
|
| 443 |
+
/* Secondary / clear buttons */
|
| 444 |
+
.btn-secondary button,
|
| 445 |
+
button.secondary,
|
| 446 |
+
button[class*="secondary"] {
|
| 447 |
+
background: var(--bg-element) !important;
|
| 448 |
+
border: 1px solid var(--border) !important;
|
| 449 |
+
color: var(--text-muted) !important;
|
| 450 |
+
font-family: var(--font-display) !important;
|
| 451 |
+
font-size: 13px !important;
|
| 452 |
+
font-weight: 600 !important;
|
| 453 |
+
border-radius: var(--radius-md) !important;
|
| 454 |
+
padding: 10px 20px !important;
|
| 455 |
+
width: 100% !important;
|
| 456 |
+
cursor: pointer !important;
|
| 457 |
+
transition: background 0.2s, color 0.2s !important;
|
| 458 |
+
}
|
| 459 |
+
|
| 460 |
+
.btn-secondary button:hover { background: var(--bg-surface) !important; color: var(--text-primary) !important; }
|
| 461 |
+
|
| 462 |
+
/* ━━━━ OUTPUT TEXTBOX ━━━━ */
|
| 463 |
+
.panel-output textarea,
|
| 464 |
+
.panel-output .gr-textbox textarea,
|
| 465 |
+
textarea {
|
| 466 |
+
background: var(--bg-surface) !important;
|
| 467 |
+
color: var(--text-primary) !important;
|
| 468 |
+
border: 1px solid var(--border) !important;
|
| 469 |
+
border-radius: var(--radius-md) !important;
|
| 470 |
+
font-family: var(--font-mono) !important;
|
| 471 |
+
font-size: 13px !important;
|
| 472 |
+
line-height: 1.8 !important;
|
| 473 |
+
min-height: 420px !important;
|
| 474 |
+
max-height: 70vh !important;
|
| 475 |
+
padding: 20px !important;
|
| 476 |
+
resize: vertical !important;
|
| 477 |
+
width: 100% !important;
|
| 478 |
+
transition: border-color 0.2s !important;
|
| 479 |
+
}
|
| 480 |
+
|
| 481 |
+
textarea:focus {
|
| 482 |
+
outline: none !important;
|
| 483 |
+
border-color: var(--accent) !important;
|
| 484 |
+
box-shadow: 0 0 0 3px rgba(124, 92, 252, 0.12) !important;
|
| 485 |
+
}
|
| 486 |
+
|
| 487 |
+
textarea::placeholder { color: var(--text-dim) !important; }
|
| 488 |
+
|
| 489 |
+
/* ━━━━ LABELS ━━━━ */
|
| 490 |
+
label span,
|
| 491 |
+
.label-wrap span,
|
| 492 |
+
.gr-textbox label span,
|
| 493 |
+
[class*="label"] {
|
| 494 |
+
font-family: var(--font-mono) !important;
|
| 495 |
+
font-size: 11px !important;
|
| 496 |
+
color: var(--text-muted) !important;
|
| 497 |
+
text-transform: uppercase !important;
|
| 498 |
+
letter-spacing: 1px !important;
|
| 499 |
+
}
|
| 500 |
+
|
| 501 |
+
/* ━━━━ SCROLLBARS ━━━━ */
|
| 502 |
+
::-webkit-scrollbar { width: 6px; height: 6px; }
|
| 503 |
+
::-webkit-scrollbar-track { background: var(--bg-base); }
|
| 504 |
+
::-webkit-scrollbar-thumb { background: var(--border-glow); border-radius: 4px; }
|
| 505 |
+
|
| 506 |
+
/* ━━━━ HIDE GRADIO FOOTER ━━━━ */
|
| 507 |
+
footer,
|
| 508 |
+
.built-with,
|
| 509 |
+
[class*="built-with"],
|
| 510 |
+
.footer,
|
| 511 |
+
.svelte-1ax1toq,
|
| 512 |
+
.gradio-container ~ footer {
|
| 513 |
+
display: none !important;
|
| 514 |
+
visibility: hidden !important;
|
| 515 |
+
height: 0 !important;
|
| 516 |
+
overflow: hidden !important;
|
| 517 |
+
}
|
| 518 |
+
|
| 519 |
+
/* ━━━━ RECORDING PULSE ━━━━ */
|
| 520 |
+
@keyframes pulse-rec {
|
| 521 |
+
0%, 100% { box-shadow: 0 0 0 0 rgba(239, 68, 68, 0.5); }
|
| 522 |
+
50% { box-shadow: 0 0 0 10px rgba(239, 68, 68, 0); }
|
| 523 |
+
}
|
| 524 |
+
|
| 525 |
+
[data-testid="record-button"][aria-pressed="true"],
|
| 526 |
+
.recording button {
|
| 527 |
+
animation: pulse-rec 1.2s infinite !important;
|
| 528 |
+
background: #dc2626 !important;
|
| 529 |
+
border-color: #ef4444 !important;
|
| 530 |
+
}
|
| 531 |
+
|
| 532 |
+
/* ━━━━ RESPONSIVE ━━━━ */
|
| 533 |
+
@media (max-width: 800px) {
|
| 534 |
+
.gradio-container { padding: 16px 12px 40px !important; }
|
| 535 |
+
.panel-input, .panel-output { min-width: 100% !important; padding: 18px !important; }
|
| 536 |
+
}
|
| 537 |
+
"""
|
| 538 |
+
|
| 539 |
+
|
| 540 |
+
# ── Interface ──────────────────────────────────────────────
|
| 541 |
def create_interface():
|
| 542 |
+
with gr.Blocks(css=APP_CSS, theme=gr.themes.Base()) as interface:
|
| 543 |
|
| 544 |
+
# Header
|
| 545 |
+
gr.HTML("""
|
| 546 |
+
<div class="app-header">
|
| 547 |
+
<h1>🎧 Audio Sentiment <span>Analyzer</span></h1>
|
| 548 |
+
<div class="app-subtitle">DistilBERT · Whisper · Multi-language · Real-time analysis</div>
|
| 549 |
+
</div>
|
| 550 |
+
""")
|
| 551 |
|
| 552 |
+
with gr.Row(elem_classes="main-row", equal_height=False):
|
| 553 |
|
| 554 |
+
# ── INPUT PANEL ───────────────────────────────
|
| 555 |
+
with gr.Column(scale=1, elem_classes="panel-input"):
|
| 556 |
gr.Markdown("## 🎤 Input Panel")
|
| 557 |
|
| 558 |
+
# Upload
|
| 559 |
+
gr.HTML("<div class='hint-label'>📁 Upload audio file — MP3, WAV, M4A, OGG, FLAC</div>")
|
| 560 |
upload_audio = gr.Audio(
|
| 561 |
sources=["upload"],
|
| 562 |
type="filepath",
|
| 563 |
label="Upload Audio File",
|
| 564 |
+
elem_classes="audio-component-wrap",
|
| 565 |
+
show_download_button=False, # removes download clutter
|
| 566 |
+
editable=False, # ← DISABLES trim entirely
|
| 567 |
+
)
|
| 568 |
+
upload_btn = gr.Button(
|
| 569 |
+
"🚀 Analyze Uploaded Audio",
|
| 570 |
+
variant="primary",
|
| 571 |
+
elem_classes="btn-analyze"
|
| 572 |
)
|
|
|
|
| 573 |
|
| 574 |
+
gr.HTML("<hr class='section-divider'>")
|
| 575 |
|
| 576 |
+
# Record
|
| 577 |
+
gr.HTML("<div class='hint-label'>🎙️ Record live from microphone</div>")
|
| 578 |
record_audio = gr.Audio(
|
| 579 |
sources=["microphone"],
|
| 580 |
type="filepath",
|
| 581 |
+
label="Microphone Recording",
|
| 582 |
+
elem_classes="audio-component-wrap",
|
| 583 |
+
editable=False, # ← DISABLES trim entirely
|
| 584 |
+
)
|
| 585 |
+
record_btn = gr.Button(
|
| 586 |
+
"🎙️ Analyze Recorded Audio",
|
| 587 |
+
variant="primary",
|
| 588 |
+
elem_classes="btn-analyze"
|
| 589 |
)
|
|
|
|
| 590 |
|
| 591 |
+
gr.HTML("<hr class='section-divider'>")
|
| 592 |
|
| 593 |
+
with gr.Row(elem_classes="btn-secondary"):
|
| 594 |
+
clear_btn = gr.Button("🧹 Clear All", variant="secondary")
|
| 595 |
|
| 596 |
+
# ── OUTPUT PANEL ──────────────────────────────
|
| 597 |
+
with gr.Column(scale=2, elem_classes="panel-output"):
|
| 598 |
gr.Markdown("## 📊 Result Panel")
|
| 599 |
|
| 600 |
output_text = gr.Textbox(
|
| 601 |
+
lines=22,
|
| 602 |
label="Analysis Result",
|
| 603 |
+
placeholder=(
|
| 604 |
+
"Results will appear here after analysis...\n\n"
|
| 605 |
+
" 🎯 Transcription\n"
|
| 606 |
+
" 📊 Sentiment label\n"
|
| 607 |
+
" 🔍 Confidence score\n"
|
| 608 |
+
" ▓▓▓ Confidence bar"
|
| 609 |
+
),
|
| 610 |
+
show_copy_button=True,
|
| 611 |
+
interactive=False,
|
| 612 |
)
|
| 613 |
|
| 614 |
+
with gr.Row(elem_classes="btn-secondary"):
|
| 615 |
+
clear_result_btn = gr.Button("🧹 Clear Result", variant="secondary")
|
| 616 |
|
| 617 |
+
# ── Events ──────────────────────────────────────
|
| 618 |
upload_btn.click(fn=process_audio, inputs=upload_audio, outputs=output_text)
|
| 619 |
record_btn.click(fn=process_audio, inputs=record_audio, outputs=output_text)
|
| 620 |
|
|
|
|
| 623 |
inputs=[],
|
| 624 |
outputs=[upload_audio, record_audio, output_text]
|
| 625 |
)
|
|
|
|
| 626 |
clear_result_btn.click(
|
| 627 |
+
fn=lambda: "",
|
| 628 |
inputs=[],
|
| 629 |
outputs=output_text
|
| 630 |
)
|
| 631 |
+
|
| 632 |
return interface
|
| 633 |
|
| 634 |
|
| 635 |
+
# ── Launch ─────────────────────────────────────────────────
|
| 636 |
if __name__ == "__main__":
|
| 637 |
interface = create_interface()
|
| 638 |
+
interface.launch(share=True)
|
|
|
|
|
|
|
|
|
|
|
|