import gradio as gr
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
import os
import re

# Load Hugging Face OCR model
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-stage1")
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-stage1")

# Folder to store extracted patient records
PATIENT_RECORDS_DIR = "records"
os.makedirs(PATIENT_RECORDS_DIR, exist_ok=True)

# Extract patient name from filename
def extract_patient_name(file_name):
    match = re.match(r"([A-Za-z]+[A-Za-z]*)_.*\.(jpg|jpeg|png)$", file_name)
    return match.group(1) if match else None

# OCR logic
def perform_ocr(image_path):
    image = Image.open(image_path).convert("RGB")
    pixel_values = processor(images=image, return_tensors="pt").pixel_values
    generated_ids = model.generate(pixel_values)
    text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
    return text

# Save to patient record
def save_record(patient_name, ocr_text):
    file_path = os.path.join(PATIENT_RECORDS_DIR, f"{patient_name}_records.txt")
    with open(file_path, "a") as f:
        f.write("\n\n===== New Lab Result =====\n")
        f.write(ocr_text)

# Main Gradio handler
def process_lab_result(image_path):
    file_name = os.path.basename(image_path)
    patient_name = extract_patient_name(file_name)

    if not patient_name:
        return "❌ Cannot extract patient name from filename. Use format: JuanDelaCruz_2025-06-13.jpg"

    ocr_text = perform_ocr(image_path)
    save_record(patient_name, ocr_text)

    return f"✅ OCR completed. Lab result saved for `{patient_name}`.\n\n📄 Extracted Text:\n\n{ocr_text}"

# Gradio interface
iface = gr.Interface(
    fn=process_lab_result,
    inputs=gr.File(label="Upload Lab Result (.jpg/.png)", type="filepath"),
    outputs="text",
    title="🩺 Lab Result OCR",
    description="Upload a lab result image named like `JuanDelaCruz_2025-06-13.jpg`. The text will be extracted and saved to the patient's record."
)

if __name__ == "__main__":
    iface.launch()