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import gradio as gr
import os
import requests
from dotenv import load_dotenv
load_dotenv()
API_TRANSCRIBE = os.getenv("API_TRANSCRIBE")
API_TEXT = os.getenv("API_TEXT")
# ==== Function for backend calls ====
def handle_audio(audio_file):
if audio_file is None:
return "-", "-", "-"
with open(audio_file, "rb") as f:
files = {"audio": f}
response = requests.post(API_TRANSCRIBE, files=files)
result = response.json()
return result.get("transcription", "-"), result.get("soap_content", "-"), result.get("tags_content", "-")
def handle_text(dialogue):
if not dialogue.strip():
return "-", "-", "-"
response = requests.post(API_TEXT, json={"dialogue": dialogue})
result = response.json()
return dialogue, result.get("soap_content", "-"), result.get("tags_content", "-")
# ==== Function to toggle inputs ====
def toggle_inputs(choice):
return (
gr.update(visible=(choice == "Upload Audio")),
gr.update(visible=(choice == "Rekam Audio")),
gr.update(visible=(choice == "Input Teks")),
)
# ==== UI ====
with gr.Blocks(title="SOAP AI Dropdown Input") as app:
gr.Markdown("## 🩺 SOAP AI — Pilih Jenis Input")
input_choice = gr.Dropdown(
choices=["Upload Audio", "Input Teks"],
value="Upload Audio",
label="Pilih Metode Input"
)
# Input fields (hidden by default except selected)
audio_upload = gr.Audio("microphone",label="🔊 Upload File Audio", type="filepath", visible=True)
text_input = gr.Textbox(label="📝 Masukkan Percakapan Dokter-Pasien", lines=6, visible=False)
# Tombol proses
process_button = gr.Button("🚀 Proses ke SOAP")
# Output
transcript_output = gr.Textbox(label="📝 Hasil Transkripsi", lines=3)
soap_output = gr.Textbox(label="📋 Ringkasan SOAP", lines=6)
tags_output = gr.Textbox(label="🏷️ Medical Tags", lines=6)
# === Events ===
input_choice.change(fn=toggle_inputs, inputs=input_choice,
outputs=[audio_upload, text_input])
process_button.click(
fn=handle_audio,
inputs=audio_upload,
outputs=[transcript_output, soap_output, tags_output],
show_progress="minimal"
)
process_button.click(
fn=handle_text,
inputs=text_input,
outputs=[transcript_output, soap_output, tags_output],
show_progress="minimal"
)
app.launch()
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