Update app.py

app.py

@@ -1,3 +1,7 @@
+import re
+import pandas as pd
+import gradio as gr
+
 # Default reference ranges for common blood components
 DEFAULT_RANGES = {
     "White Blood Cell Count": (4, 11),
@@ -71,3 +75,36 @@ def clean_and_parse_extracted_text(raw_text):
     df["Component"] = df["Component"].str.replace("Sir 2.0", "", regex=False).str.strip()
 
     return df
+
+def process_blood_test(image):
+    """
+    Process the uploaded blood test report and return the analyzed data.
+    """
+    # Step 1: Extract text from the image
+    import pytesseract
+    raw_text = pytesseract.image_to_string(image)
+
+    # Step 2: Parse and analyze the extracted text
+    df = clean_and_parse_extracted_text(raw_text)
+
+    # Step 3: Convert the DataFrame to a readable format
+    return df
+
+# Gradio Interface
+def analyze_blood_report(image):
+    """
+    Analyze the blood test report and return a table with results.
+    """
+    df = process_blood_test(image)
+    return df
+
+interface = gr.Interface(
+    fn=analyze_blood_report,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.DataFrame(label="Blood Test Analysis"),
+    title="Blood Test Analyzer",
+    description="Upload an image of your blood test report to analyze the values and flag abnormalities.",
+)
+
+if __name__ == "__main__":
+    interface.launch()