Update main.py

main.py

@@ -63,21 +63,15 @@ async def load_file(
     questions: str = Form(...),
 ):
     try:
-        # Read the uploaded file
+        # Read the uploaded file as bytes
         contents = await file.read()
 
-        # Convert binary content to text
-        text_content = contents.decode('utf-8')
-
-        # Split the questions string into a list
-        question_list = [q.strip() for q in questions.split(',')]
-
         # Perform document question answering for each question using BERT-based model
         answers_dict = {}
-        for question in question_list:
+        for question in questions.split(','):
             result = nlp_qa({
-                'question': question,
-                'context': text_content
+                'question': question.strip(),
+                'context': contents.decode('utf-8')  # Assuming the content is text, adjust as needed
             })
             answers_dict[question] = result['answer']