Update app.py

app.py

@@ -8,18 +8,12 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.vectorstores import FAISS
 from langchain.chains import ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
-from langchain_community.llms import HuggingFaceEndpoint
-from langchain_huggingface import HuggingFaceEmbeddings
 import torch
 from PIL import Image
-from torchvision import transforms
-from torchvision.models import resnet50, ResNet50_Weights
 from torchvision import transforms, models
 
-
 class GeometryImageClassifier:
     def __init__(self):
-        # Use ResNet18 instead of ResNet50 - lighter and pre-downloaded
         self.model = models.resnet18(pretrained=True)
         self.model.fc = torch.nn.Identity()
         self.model = self.model.to('cpu')
@@ -83,7 +77,6 @@ class GeometryImageClassifier:
 # ✅ Use a strong sentence embedding model
 semantic_model = SentenceTransformer("all-MiniLM-L6-v2")
 
-
 def extract_text_from_docx(file_path):
     """ ✅ Extracts normal text & tables from a .docx file for better retrieval. """
     doc = docx.Document(file_path)