Update app.py

app.py

@@ -1,10 +1,11 @@
-# app.py
 import fitz  # PyMuPDF for PDFs
 import easyocr  # OCR for images
 import openpyxl  # XLSX processing
 import pptx  # PPTX processing
 import docx  # DOCX processing
 from transformers import pipeline
+from gtts import gTTS
+import tempfile
 
 # Initialize AI Models
 qa_model = pipeline("question-answering", model="deepset/roberta-base-squad2")
@@ -62,13 +63,18 @@ def answer_question_from_doc(file, question):
     elif ext == "xlsx":
         context = extract_text_from_xlsx(file.name)
     else:
-        return "Unsupported file format."
+        return "Unsupported file format.", None
 
     if not context.strip():
-        return "No text found in the document."
+        return "No text found in the document.", None
 
     try:
         result = qa_model({"question": question, "context": context})
-        return result["answer"]
+        answer = result["answer"]
+        tts = gTTS(text=answer)
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
+            tts.save(tmp.name)
+            audio_path = tmp.name
+        return answer, audio_path
     except Exception as e:
-        return f"Error generating answer: {e}"
+        return f"Error generating answer: {e}", None