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import gradio as gr
import threading
import os
import requests
import string
import pygame
import time
from pydub import AudioSegment
from nltk.tokenize import word_tokenize
import nltk
from nltk.corpus import words, stopwords
from dotenv import load_dotenv
# Initialize pygame mixer for sound playback
pygame.mixer.init()
# Download resource NLTK (hanya sekali)
nltk.download('punkt')
nltk.download('words')
nltk.download('stopwords')
load_dotenv()
API_TRANSCRIBE = os.getenv("API_TRANSCRIBE")
API_TEXT = os.getenv("API_TEXT")
# Path ke file sound yang akan diputar (sesuaikan dengan file Anda)
NOTIFICATION_SOUND_PATH = "Berhenti.mp3" # Sound ketika recording selesai
START_RECORDING_SOUND_PATH = "Dimulai.mp3" # Sound ketika mulai recording
english_words = set(words.words())
indonesian_stopwords = set(stopwords.words('indonesian'))
def load_indonesian_wordlist(filepath='wordlist.lst'):
try:
with open(filepath, encoding='utf-8') as f:
return set(line.strip().lower() for line in f if line.strip())
except UnicodeDecodeError:
try:
with open(filepath, encoding='latin-1') as f:
return set(line.strip().lower() for line in f if line.strip())
except Exception:
return set()
except Exception:
return set()
indonesian_words = load_indonesian_wordlist()
valid_words = english_words.union(indonesian_words)
def contains_medical_terms_auto_threshold(text, medical_words):
tokens = word_tokenize(text.lower())
tokens = [w.strip(string.punctuation) for w in tokens if w.isalpha()]
if not tokens:
return False
medical_count = sum(1 for w in tokens if w in medical_words)
ratio = medical_count / len(tokens)
threshold = 0.4 if len(tokens) <= 5 else 0.1
return ratio >= threshold
medical_words = load_indonesian_wordlist('wordlist.lst')
MAX_DURATION_SECONDS = 600
def validate_audio_duration(audio_file):
try:
audio = AudioSegment.from_file(audio_file)
duration_sec = len(audio) / 1000.0
if duration_sec > MAX_DURATION_SECONDS:
return False, duration_sec
return True, duration_sec
except Exception as e:
return False, -1
def play_notification_sound():
"""Function untuk memainkan sound notification ketika recording selesai"""
try:
if os.path.exists(NOTIFICATION_SOUND_PATH):
pygame.mixer.music.load(NOTIFICATION_SOUND_PATH)
pygame.mixer.music.play()
print("π Playing completion notification sound...")
else:
print(f"β οΈ File completion sound tidak ditemukan: {NOTIFICATION_SOUND_PATH}")
except Exception as e:
print(f"β Error playing completion sound: {e}")
def play_start_recording_sound():
"""Function untuk memainkan sound ketika mulai recording"""
try:
if os.path.exists(START_RECORDING_SOUND_PATH):
# Menggunakan Sound effect untuk play bersamaan tanpa interrupt music
start_sound = pygame.mixer.Sound(START_RECORDING_SOUND_PATH)
start_sound.play()
print("π΅ Playing start recording sound...")
else:
print(f"β οΈ File start recording sound tidak ditemukan: {START_RECORDING_SOUND_PATH}")
except Exception as e:
print(f"β Error playing start recording sound: {e}")
def start_recording():
"""Function yang dipanggil ketika tombol record ditekan"""
print("ποΈ Recording started...")
# Play start recording sound
threading.Thread(target=play_start_recording_sound, daemon=True).start()
return "ποΈ Sedang merekam... Klik stop untuk menyelesaikan"
def stop_recording(audio):
"""Function yang dipanggil ketika recording selesai"""
if audio is not None:
print("β
Recording completed!")
# Play notification sound when recording is completed
threading.Thread(target=play_notification_sound, daemon=True).start()
return "β
Recording selesai! Audio siap diproses"
else:
print("β No audio recorded")
return "β Tidak ada audio yang direkam"
def test_microphone():
"""Function untuk test microphone"""
print("π§ Testing microphone...")
return "π§ Testing microphone... Silakan coba record lagi"
def reset_recording_status():
"""Function untuk reset status recording"""
return "π± Siap untuk merekam - Klik tombol record"
def handle_audio(audio_file):
"""Handle audio processing - returns (validation_message, transcript, soap, tags)"""
if audio_file is None:
return "β Tidak ada file audio", "", "", ""
valid, duration = validate_audio_duration(audio_file)
if not valid:
if duration == -1:
msg = "β οΈ Gagal memproses file audio."
else:
msg = f"β οΈ Durasi rekaman terlalu panjang ({duration:.1f}s). Maksimal {MAX_DURATION_SECONDS}s."
return msg, "", "", ""
try:
with open(audio_file, "rb") as f:
files = {"audio": f}
response = requests.post(API_TRANSCRIBE, files=files)
result = response.json()
transcription = result.get("transcription", "")
soap_content = result.get("soap_content", "")
tags_content = result.get("tags_content", "")
if not transcription and not soap_content and not tags_content:
return "β οΈ Tidak ada hasil dari proses audio", "", "", ""
return "", transcription, soap_content, tags_content
except Exception as e:
return f"β Error processing audio: {str(e)}", "", "", ""
def handle_text(dialogue):
"""Handle text processing - returns (validation_message, transcript, soap, tags)"""
if not dialogue.strip():
return "β οΈ Teks tidak boleh kosong", "", "", ""
if not contains_medical_terms_auto_threshold(dialogue, medical_words):
return "β οΈ Teks tidak mengandung istilah medis yang cukup untuk diproses.", "", "", ""
try:
response = requests.post(API_TEXT, json={"dialogue": dialogue})
result = response.json()
soap_content = result.get("soap_content", "")
tags_content = result.get("tags_content", "")
if not soap_content and not tags_content:
return "β οΈ Tidak ada hasil dari proses teks", "", "", ""
return "", dialogue, soap_content, tags_content
except Exception as e:
return f"β Error processing text: {str(e)}", "", "", ""
def toggle_inputs_with_refresh(choice):
# Tampilkan input dan validasi yang sesuai, sembunyikan lainnya
return (
gr.update(visible=(choice == "Upload Audio"), value=None), # audio upload
gr.update(visible=(choice == "Realtime Recording"), value=None), # audio record
gr.update(visible=(choice == "Input Teks"), value=""), # text input
gr.update(visible=(choice == "Upload Audio")), # validasi upload
gr.update(visible=(choice == "Realtime Recording")), # validasi realtime
gr.update(visible=(choice == "Input Teks")), # validasi teks
gr.update(visible=(choice == "Realtime Recording")), # recording status group
gr.update(visible=(choice == "Realtime Recording")), # record audio group
gr.update(value=""), # transcript
gr.update(value=""), # soap
gr.update(value=""), # tags
)
def clear_all_data():
return (
gr.update(value=None), # audio_upload
gr.update(value=None), # audio_record
gr.update(value=""), # text_input
gr.update(value=""), # validation_upload
gr.update(value=""), # validation_realtime
gr.update(value=""), # validation_text
gr.update(value="π± Siap untuk merekam"), # recording_status
gr.update(value=""), # transcript_output
gr.update(value=""), # soap_output
gr.update(value=""), # tags_output
)
def process_data(choice, audio_upload, audio_record, text_input):
"""
Process data based on choice and return results in correct order:
Returns: (validation_upload, validation_realtime, validation_text, transcript, soap, tags)
"""
if choice == "Upload Audio":
# Process upload audio
validation_msg, transcript, soap, tags = handle_audio(audio_upload)
return (
validation_msg, # validation_upload
"", # validation_realtime (empty)
"", # validation_text (empty)
transcript, # transcript_output
soap, # soap_output
tags # tags_output
)
elif choice == "Realtime Recording":
# Process realtime recording
validation_msg, transcript, soap, tags = handle_audio(audio_record)
return (
"", # validation_upload (empty)
validation_msg, # validation_realtime
"", # validation_text (empty)
transcript, # transcript_output
soap, # soap_output
tags # tags_output
)
elif choice == "Input Teks":
# Process text input
validation_msg, transcript, soap, tags = handle_text(text_input)
return (
"", # validation_upload (empty)
"", # validation_realtime (empty)
validation_msg, # validation_text
transcript, # transcript_output (will be same as input for text)
soap, # soap_output
tags # tags_output
)
else:
# Default case - clear all
return ("", "", "", "", "", "")
# Custom CSS untuk tampilan modern dengan alignment yang diperbaiki
modern_css = """
<style>
/* Background gradient yang modern */
.gradio-container {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}
/* Header styling */
.main-header {
text-align: center;
padding: 2rem 0;
color: white;
margin-bottom: 2rem;
}
.main-header h1 {
font-size: 3rem;
font-weight: 700;
margin-bottom: 0.5rem;
text-shadow: 0 2px 4px rgba(0,0,0,0.3);
}
.main-header p {
font-size: 1.2rem;
opacity: 0.9;
font-weight: 300;
}
/* Card styling */
.input-card {
background: rgba(255, 255, 255, 0.95);
border-radius: 20px;
padding: 2rem;
margin: 0.8rem 0;
box-shadow: 0 8px 32px rgba(0,0,0,0.1);
backdrop-filter: blur(10px);
border: 1px solid rgba(255,255,255,0.2);
}
.output-card {
background: rgba(255, 255, 255, 0.95);
border-radius: 20px;
padding: 2rem;
box-shadow: 0 8px 32px rgba(0,0,0,0.1);
backdrop-filter: blur(10px);
border: 1px solid rgba(255,255,255,0.2);
}
/* Record audio section with padding */
.record-audio-section {
background: rgba(255, 255, 255, 0.95);
border-radius: 20px;
padding: 2rem;
margin: 0.8rem 0;
box-shadow: 0 8px 32px rgba(0,0,0,0.1);
backdrop-filter: blur(10px);
border: 1px solid rgba(255,255,255,0.2);
}
/* Output header styling - aligned properly */
.output-header {
text-align: left;
margin-bottom: 1.5rem;
padding-left: 0;
}
.output-header h3 {
font-size: 1.5rem;
font-weight: 600;
color: #2d3436;
margin: 0;
display: flex;
align-items: center;
}
/* Spacing adjustments */
.input-section {
margin-bottom: 1rem;
}
.button-section {
margin-top: 0.5rem;
margin-bottom: 1rem;
}
/* Updated output section styling with proper alignment */
.output-section {
background: rgba(255, 255, 255, 0.98);
border-radius: 15px;
padding: 1.5rem;
margin: 1rem 0 0 0;
box-shadow: 0 4px 20px rgba(0,0,0,0.08);
}
/* Ensure all output components are aligned consistently */
.output-container {
display: flex;
flex-direction: column;
gap: 1rem;
}
/* Button styling */
.record-btn {
background: linear-gradient(45deg, #ff6b6b, #ee5a24);
border: none;
border-radius: 50px;
padding: 1rem 2rem;
color: white;
font-weight: 600;
font-size: 1.1rem;
cursor: pointer;
transition: all 0.3s ease;
box-shadow: 0 4px 15px rgba(238, 90, 36, 0.4);
}
.record-btn:hover {
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(238, 90, 36, 0.6);
}
.test-btn {
background: linear-gradient(45deg, #74b9ff, #0984e3);
border: none;
border-radius: 50px;
padding: 0.8rem 1.5rem;
color: white;
font-weight: 500;
cursor: pointer;
transition: all 0.3s ease;
}
.test-btn:hover {
transform: translateY(-1px);
box-shadow: 0 4px 15px rgba(116, 185, 255, 0.4);
}
.reset-btn {
background: linear-gradient(45deg, #a29bfe, #6c5ce7);
border: none;
border-radius: 15px;
padding: 0.4rem 1rem;
font-size: 0.8rem;
color: white;
font-weight: 500;
cursor: pointer;
transition: all 0.3s ease;
height: 2rem;
min-width: 80px;
}
.reset-btn:hover {
transform: translateY(-1px);
box-shadow: 0 2px 10px rgba(162, 155, 254, 0.4);
}
.process-btn {
background: linear-gradient(45deg, #00b894, #00cec9);
border: none;
border-radius: 50px;
padding: 1rem 2.5rem;
color: white;
font-weight: 600;
font-size: 1.2rem;
cursor: pointer;
transition: all 0.3s ease;
box-shadow: 0 4px 15px rgba(0, 184, 148, 0.4);
margin: 1rem 0;
}
.process-btn:hover {
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(0, 184, 148, 0.6);
}
/* Status indicator */
.status-indicator {
background: rgba(255, 255, 255, 0.95);
border: 2px solid #74b9ff;
color: #2d3436;
padding: 2rem;
border-radius: 15px;
font-weight: 500;
margin: 1rem 0;
box-shadow: 0 4px 15px rgba(116, 185, 255, 0.2);
}
/* Input styling */
.audio-input {
border: 2px dashed #ddd;
border-radius: 15px;
padding: 2rem;
text-align: center;
background: rgba(255,255,255,0.5);
transition: all 0.3s ease;
}
.audio-input:hover {
border-color: #74b9ff;
background: rgba(116, 185, 255, 0.1);
}
/* Ensure proper text alignment in outputs */
.output-section textarea {
text-align: left;
vertical-align: top;
resize: vertical;
}
/* Responsive design */
@media (max-width: 768px) {
.main-header h1 {
font-size: 2rem;
}
.input-card, .output-card, .record-audio-section {
padding: 2rem;
}
.record-btn, .process-btn {
width: 100%;
margin: 0.5rem 0;
}
.reset-btn {
min-width: 70px;
font-size: 0.75rem;
}
}
/* Animation untuk elemen yang muncul */
@keyframes fadeInUp {
from {
opacity: 0;
transform: translateY(30px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
.input-card, .output-card, .record-audio-section {
animation: fadeInUp 0.6s ease-out;
}
/* Microphone icon animation */
@keyframes pulse {
0% {
transform: scale(1);
}
50% {
transform: scale(1.05);
}
100% {
transform: scale(1);
}
}
.recording-active {
animation: pulse 1s infinite;
}
</style>
"""
# Buat interface dengan theme modern
with gr.Blocks(
title="π©Ί SOAP AI - Modern Interface",
css=modern_css,
theme=gr.themes.Soft(
primary_hue="blue",
secondary_hue="cyan",
neutral_hue="slate",
font=gr.themes.GoogleFont("Inter")
)
) as app:
# Header
gr.HTML("""
<div class="main-header">
<h1>ποΈ Realtime Recording</h1>
<p>High Quality Audio Recording with Smart Notifications</p>
</div>
""")
with gr.Row():
with gr.Column(scale=8):
input_choice = gr.Dropdown(
choices=["Upload Audio", "Realtime Recording", "Input Teks"],
value="Realtime Recording",
label="π― Pilih Metode Input",
container=True,
elem_classes=["input-dropdown"]
)
with gr.Column(scale=2):
clear_button = gr.Button(
"ποΈ Clear",
variant="secondary",
size="sm",
elem_classes=["reset-btn"]
)
# Input Section - Upload Audio
with gr.Group(elem_classes=["input-card"], visible=False) as upload_audio_group:
gr.HTML("<h3>π Upload Audio File</h3>")
audio_upload = gr.Audio(
sources=["upload"],
label="π Upload File Audio",
type="filepath",
show_download_button=False,
show_share_button=False,
interactive=True,
elem_classes=["audio-input"]
)
# Input Section - Record Audio with proper padding
with gr.Group(elem_classes=["record-audio-section"], visible=True) as record_audio_group:
gr.HTML("<h3>π΅ Record Your Audio</h3>")
audio_record = gr.Audio(
sources=["microphone"],
label="ποΈ Realtime Recording",
type="filepath",
show_download_button=True,
show_share_button=False,
interactive=True,
streaming=False,
elem_classes=["audio-input"]
)
# Input Section - Text Input (without record audio section)
with gr.Group(elem_classes=["input-card"], visible=False) as text_input_group:
gr.HTML("<h3>π Input Teks</h3>")
text_input = gr.Textbox(
label="π Masukkan Percakapan Dokter-Pasien",
lines=6,
placeholder="Ketik percakapan antara dokter dan pasien di sini...",
elem_classes=["text-input"]
)
# Status Section - hanya untuk Realtime Recording
recording_status_group = gr.Group(elem_classes=["status-indicator"], visible=True)
with recording_status_group:
gr.HTML("<h4>π Status Recording</h4>")
recording_status = gr.Textbox(
value="Siap untuk merekam",
interactive=False,
show_label=False,
lines=1,
elem_classes=["status-display"]
)
# Validation Section
validation_upload = gr.Textbox(
label="β οΈ Validasi Upload Audio",
lines=1,
interactive=False,
visible=False,
elem_classes=["validation-msg"]
)
validation_realtime = gr.Textbox(
label="β οΈ Validasi Realtime Recording",
lines=1,
interactive=False,
visible=True,
elem_classes=["validation-msg"]
)
validation_text = gr.Textbox(
label="β οΈ Validasi Input Teks",
lines=1,
interactive=False,
visible=False,
elem_classes=["validation-msg"]
)
# Process Button
process_button = gr.Button(
"π Proses ke SOAP",
variant="primary",
size="lg",
elem_classes=["process-btn"]
)
# Output Section with proper alignment - Fixed Layout
with gr.Group(elem_classes=["output-card"]):
# Header aligned properly
with gr.Row():
with gr.Column():
gr.HTML('<div class="output-header"><h3>π Hasil Analisis</h3></div>')
# All outputs in aligned container
with gr.Column(elem_classes=["output-container"]):
transcript_output = gr.Textbox(
label="π Hasil Transkripsi",
lines=4,
elem_classes=["output-section"]
)
soap_output = gr.Textbox(
label="π Ringkasan SOAP",
lines=8,
elem_classes=["output-section"]
)
tags_output = gr.Textbox(
label="π·οΈ Medical Tags",
lines=6,
elem_classes=["output-section"]
)
# Footer
gr.HTML("""
<div style="text-align: center; padding: 2rem; color: rgba(255,255,255,0.7);">
<p>Use via API π₯ β’ Built with Gradio π</p>
</div>
""")
# Event handlers untuk toggle inputs
input_choice.change(
fn=lambda choice: (
gr.update(visible=(choice == "Upload Audio")), # upload_audio_group
gr.update(visible=(choice == "Realtime Recording")), # record_audio_group
gr.update(visible=(choice == "Input Teks")), # text_input_group
gr.update(visible=(choice == "Upload Audio")), # validation_upload
gr.update(visible=(choice == "Realtime Recording")), # validation_realtime
gr.update(visible=(choice == "Input Teks")), # validation_text
gr.update(visible=(choice == "Realtime Recording")), # recording_status_group
gr.update(value=""), # transcript
gr.update(value=""), # soap
gr.update(value=""), # tags
),
inputs=input_choice,
outputs=[
upload_audio_group,
record_audio_group,
text_input_group,
validation_upload,
validation_realtime,
validation_text,
recording_status_group,
transcript_output,
soap_output,
tags_output,
],
)
# Event handlers untuk recording
audio_record.start_recording(
fn=start_recording,
outputs=recording_status
)
audio_record.stop_recording(
fn=stop_recording,
inputs=audio_record,
outputs=recording_status
)
clear_button.click(
fn=clear_all_data,
outputs=[
audio_upload,
audio_record,
text_input,
validation_upload,
validation_realtime,
validation_text,
recording_status,
transcript_output,
soap_output,
tags_output,
],
)
process_button.click(
fn=process_data,
inputs=[input_choice, audio_upload, audio_record, text_input],
outputs=[
validation_upload,
validation_realtime,
validation_text,
transcript_output,
soap_output,
tags_output,
],
show_progress="minimal",
)
# Startup information
if __name__ == "__main__":
print("π Starting Enhanced SOAP AI Application with Modern UI...")
print("π Setup Instructions:")
print("1. Install dependencies: pip install gradio pygame pydub nltk requests python-dotenv")
print(f"2. Place your sound files:")
print(f" - Start recording sound: {START_RECORDING_SOUND_PATH}")
print(f" - Completion sound: {NOTIFICATION_SOUND_PATH}")
print("3. Supported sound formats: WAV, MP3, OGG")
print("4. Make sure wordlist.lst file is available")
print("5. Set up your .env file with API_TRANSCRIBE and API_TEXT")
print()
# Cek apakah file sound ada
sounds_status = []
if os.path.exists(START_RECORDING_SOUND_PATH):
print(f"β
Start recording sound found: {START_RECORDING_SOUND_PATH}")
sounds_status.append("start")
else:
print(f"β οΈ Start recording sound not found: {START_RECORDING_SOUND_PATH}")
if os.path.exists(NOTIFICATION_SOUND_PATH):
print(f"β
Completion sound found: {NOTIFICATION_SOUND_PATH}")
sounds_status.append("completion")
else:
print(f"β οΈ Completion sound not found: {NOTIFICATION_SOUND_PATH}")
if not sounds_status:
print("π Note: Add sound files to enable audio notifications for realtime recording")
elif len(sounds_status) == 1:
print("π Note: Add the missing sound file for complete audio experience")
print("\nπ Application will start at: http://localhost:7860")
print("ποΈ Make sure to allow microphone access when using Realtime Recording!")
print("β¨ New Modern UI with enhanced visual experience!")
print()
app.launch() |