Create config.py

config.py

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+import fitz  # PyMuPDF
+import pytesseract
+import easyocr
+import whisper
+import speech_recognition as sr
+from transformers import pipeline
+import os
+from PIL import Image
+import genanki
+import uuid
+import tempfile
+import shutil
+
+# === OCR and Text Extraction ===
+
+def process_pdf(file_path):
+    doc = fitz.open(file_path)
+    text = ""
+    for page in doc:
+        text += page.get_text()
+        if not text.strip():  # fallback to OCR
+            pix = page.get_pixmap()
+            img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
+            text += pytesseract.image_to_string(img)
+    return text
+
+def process_image(file_path):
+    reader = easyocr.Reader(['en'])
+    result = reader.readtext(file_path, detail=0)
+    return "\n".join(result)
+
+def process_audio(file_path):
+    model = whisper.load_model("base")
+    result = model.transcribe(file_path)
+    return result["text"]
+
+# === AI Flashcard Generation ===
+
+def generate_flashcards(text):
+    generator = pipeline("text2text-generation", model="t5-base", max_length=64)
+    flashcards = []
+
+    chunks = [text[i:i+400] for i in range(0, len(text), 400)]
+    for chunk in chunks:
+        prompt = f"Generate a flashcard question and answer from this medical text:\n{chunk}"
+        output = generator(prompt)[0]['generated_text']
+        if ":" in output:
+            q, a = output.split(":", 1)
+        else:
+            q, a = "Question", output
+        flashcards.append({"question": q.strip(), "answer": a.strip()})
+        if len(flashcards) >= 15:
+            break
+    return flashcards
+
+# === Export to Anki (.apkg) ===
+
+def export_to_apkg(cards, deck_name):
+    deck_id = int(str(uuid.uuid4().int)[:10])
+    my_deck = genanki.Deck(deck_id, deck_name)
+
+    model = genanki.Model(
+        1607392319,
+        'BatAnkiModel',
+        fields=[
+            {'name': 'Question'},
+            {'name': 'Answer'},
+        ],
+        templates=[
+            {
+                'name': 'Card 1',
+                'qfmt': '{{Question}}',
+                'afmt': '{{FrontSide}}<hr id="answer">{{Answer}}',
+            },
+        ])
+
+    for card in cards:
+        my_deck.add_note(genanki.Note(
+            model=model,
+            fields=[card['question'], card['answer']]
+        ))
+
+    package_path = os.path.join(tempfile.gettempdir(), f"{deck_name}.apkg")
+    genanki.Package(my_deck).write_to_file(package_path)
+    return package_path