Update app.py

app.py

@@ -5,30 +5,9 @@ from file_processing import FileProcessor
 from entity_recognition import process_text
 from utils import safe_dataframe
 
-reader = easyocr.Reader(['en'], gpu=True)  # Initialize OCR model
+reader = easyocr.Reader(['en'],download_enabled=True, gpu=True)  # Initialize OCR model
 
 
-def extract_it(file):
-    """Processes the uploaded file and extracts medical data."""
-
-    text = read_file(file.name, reader)  # Read the file (implement `read_file`)
-    print("Performing NER...")
-    global output
-    output = process_text(text)  # Perform entity recognition (implement `process_text`)
-
-
-    metadata = output["metadata"]
-
-
-    metadata_str = f"**Patient Name:** {metadata['patient_name']}\n\n" \
-                   f"**Age:** {metadata['age']} \n\n" \
-                   f"**Gender:** {metadata['gender']}\n\n" \
-                   f"**Lab Name:** {metadata['lab_name']}\n\n" \
-                   f"**Report Date:** {metadata['report_date']}"
-
-    print(f"Processed report for {metadata['patient_name']}")
-
-    return metadata_str
 
 
 with gr.Blocks() as demo:
@@ -43,8 +22,9 @@ with gr.Blocks() as demo:
     # submit_btn.click(fn=extract_it,inputs=file_input,outputs=metadata_md)
 
 
+
     @gr.render(inputs=file_input,triggers=[file_input.upload])
-    def extract_it(file):
+    def extract(file):
         """Processes the uploaded file and extracts medical data."""
 
         text = read_file(file.name, reader)  # Read the file (implement `read_file`)
@@ -72,6 +52,7 @@ with gr.Blocks() as demo:
             gr.Dataframe(lab_tests)
 
         gr.JSON(output,label="📜 Extracted Report")
+        return output
     
 
 demo.launch(debug=True, share=True)