Before I make bigger changes, let's commit so we have the PDF viewer ready :)

.gitignore

@@ -0,0 +1,20 @@
+# Environment variables
+.env
+.env.local
+.env.production
+
+# API keys
+*.key
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+
+# Node
+node_modules/
+dist/
+
+# IDE
+.vscode/
+.idea/

backend/app.py

@@ -1,17 +1,16 @@
-from fastapi import FastAPI, HTTPException, Body
+from fastapi import FastAPI, File, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-from transformers import BertTokenizer, BertModel, pipeline
-import torch as t
-import logging
+from mistralai import Mistral
+import os
+import tempfile
+from dotenv import load_dotenv
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
+# Load environment variables
+load_dotenv()
 
 app = FastAPI()
 
-# Configure CORS: In production, you might restrict allowed origins
+# Enable CORS
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -19,77 +18,190 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-# Mount static files for React app assets (CSS, JS)
-app.mount("/assets", StaticFiles(directory="frontend/assets"), name="assets")
-
-# Mount other static files (images, etc.)
-app.mount("/static", StaticFiles(directory="frontend"), name="static")
+@app.get("/")
+def hello():
+    return {"message": "Backend is running!"}
 
-# Load tokenizer and BERT model
-tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
-try:
-    model = BertModel.from_pretrained('bert-base-uncased', output_attentions=True)
-except Exception as e:
-    logger.error(f"Model loading failed: {e}")
-    raise
+@app.get("/api/test")
+def test():
+    return {"status": "OK", "app": "SokratesAI"}
 
-@app.post("/process")
-async def process_text(text: str = Body(..., embed=True)):
-    """
-    Process the input text:
-      - Tokenizes the text using BERT's tokenizer
-      - Runs the BERT model to obtain attentions (bidirectional)
-      - Returns the tokens and attention values (rounded to 2 decimals)
-    """
+@app.post("/upload_pdf")
+async def upload_pdf(file: UploadFile = File(...)):
+    """Upload PDF to Mistral Document AI"""
+    print(f"📄 Processing file: {file.filename}")
+    
+    # Get Mistral API key
+    api_key = os.environ.get("MISTRAL_API_KEY")
+    if not api_key:
+        print("❌ No Mistral API key found")
+        raise HTTPException(status_code=500, detail="MISTRAL_API_KEY not set in environment")
+    
     try:
-        logger.info(f"Received text: {text}")
-        # Tokenize input text (truncating if needed)
-        inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
-
-        # Run the model without gradient computation (inference mode)
-        with t.no_grad():
-            outputs = model(**inputs)
-        attentions = outputs.attentions  # Tuple of attention tensors for each layer
-
-        decimals = 2
-        # Convert attention tensors to lists with rounded decimals
-        attn_series = t.round(
-            t.tensor([layer_attention.tolist() for layer_attention in attentions], dtype=t.double)
-            .squeeze(), decimals=decimals
-        ).detach().cpu().tolist()
+        # Initialize Mistral client
+        client = Mistral(api_key=api_key)
+        print("🔑 Mistral client initialized")
+        
+        # Read PDF bytes
+        file_bytes = await file.read()
+        print(f"📊 File size: {len(file_bytes)} bytes")
+        
+        # Create temporary file for Mistral upload
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as temp_file:
+            temp_file.write(file_bytes)
+            temp_file_path = temp_file.name
+        
+        try:
+            print("🚀 Uploading to Mistral...")
+            
+            # Upload PDF to Mistral for OCR processing
+            uploaded_pdf = client.files.upload(
+                file={
+                    "file_name": file.filename or "document.pdf",
+                    "content": open(temp_file_path, "rb"),
+                },
+                purpose="ocr"
+            )
+            
+            print(f"✅ Upload successful! File ID: {uploaded_pdf.id}")
+            
+            return {
+                "message": "PDF uploaded to Mistral successfully!",
+                "file_id": uploaded_pdf.id,
+                "filename": file.filename,
+                "status": "uploaded",
+                "mistral_response": str(uploaded_pdf)
+            }
+            
+        finally:
+            # Clean up temporary file
+            os.unlink(temp_file_path)
+            print("🗑️ Temporary file cleaned up")
+            
+    except Exception as e:
+        print(f"❌ Error with Mistral API: {e}")
+        raise HTTPException(status_code=500, detail=f"Mistral API error: {str(e)}")
 
+@app.get("/process_ocr/{file_id}")
+async def process_ocr_content(file_id: str):
+    """Process OCR content using proper Mistral OCR API"""
+    print(f"🔍 Processing OCR for file ID: {file_id}")
+    
+    # Get Mistral API key
+    api_key = os.environ.get("MISTRAL_API_KEY")
+    if not api_key:
+        raise HTTPException(status_code=500, detail="MISTRAL_API_KEY not set")
+    
+    try:
+        # Initialize Mistral client
+        client = Mistral(api_key=api_key)
+        
+        # Get signed URL for the file
+        print("🔗 Getting signed URL...")
+        signed_url = client.files.get_signed_url(file_id=file_id, expiry=1)
+        print(f"✅ Signed URL obtained")
+        
+        # Process OCR using the proper API
+        print("🚀 Processing OCR...")
+        ocr_response = client.ocr.process(
+            model="mistral-ocr-latest",
+            document={
+                "type": "document_url",
+                "document_url": signed_url.url,
+            },
+            include_image_base64=True  # Include images for full processing
+        )
+        
+        print(f"✅ OCR processing complete! Found {len(ocr_response.pages)} pages")
+        
+        # Process each page and extract structured data
+        processed_pages = []
+        for page_idx, page in enumerate(ocr_response.pages):
+            print(f"📄 Page {page_idx + 1}: {len(page.markdown)} chars, {len(page.images)} images")
+            
+            page_data = {
+                "index": page.index,
+                "markdown": page.markdown,
+                "images": [],
+                "dimensions": {
+                    "dpi": page.dimensions.dpi,
+                    "height": page.dimensions.height,
+                    "width": page.dimensions.width
+                }
+            }
+            
+            # Process images with coordinates
+            for img in page.images:
+                image_data = {
+                    "id": img.id,
+                    "coordinates": {
+                        "top_left_x": img.top_left_x,
+                        "top_left_y": img.top_left_y,
+                        "bottom_right_x": img.bottom_right_x,
+                        "bottom_right_y": img.bottom_right_y
+                    },
+                    "has_base64": bool(img.image_base64)  # Don't include actual base64 in response
+                }
+                page_data["images"].append(image_data)
+            
+            processed_pages.append(page_data)
+        
+        print(f"📝 Total processed pages: {len(processed_pages)}")
+        
         return {
-            "tokens": tokenizer.convert_ids_to_tokens(inputs["input_ids"][0]),
-            "attention": attn_series
+            "file_id": file_id,
+            "pages": processed_pages,
+            "total_pages": len(processed_pages),
+            "status": "processed"
         }
+        
     except Exception as e:
-        logger.error(f"Error processing text: {e}")
-        raise HTTPException(status_code=500, detail=str(e))
+        print(f"❌ Error processing OCR: {e}")
+        raise HTTPException(status_code=500, detail=f"Error processing OCR: {str(e)}")
 
-# Initialize the text generation pipeline (unchanged)
-pipe = pipeline("text2text-generation", model="google/flan-t5-small")
-
-@app.get("/generate")
-def generate(text: str):
-    """
-    Using the text2text-generation pipeline from `transformers`, generate text
-    from the given input text. The model used is `google/flan-t5-small`.
-    """
-    # Use the pipeline to generate text from the given input text
-    output = pipe(text)
-    # Return the generated text in a JSON response
-    return {"output": output[0]["generated_text"]}
-
-@app.get("/")
-async def read_index():
-    return FileResponse("frontend/index.html")
-
-@app.get("/{file_path:path}")
-async def serve_static_files(file_path: str):
-    """Serve static files from frontend directory"""
-    import os
-    full_path = f"frontend/{file_path}"
-    if os.path.exists(full_path) and os.path.isfile(full_path):
-        return FileResponse(full_path)
-    # If file not found, serve index.html for React Router
-    return FileResponse("frontend/index.html")
+@app.get("/get_image/{file_id}/{image_id}")
+async def get_image_base64(file_id: str, image_id: str):
+    """Get base64 image data for a specific image"""
+    print(f"🖼️ Getting image {image_id} from file {file_id}")
+    
+    # Get Mistral API key
+    api_key = os.environ.get("MISTRAL_API_KEY")
+    if not api_key:
+        raise HTTPException(status_code=500, detail="MISTRAL_API_KEY not set")
+    
+    try:
+        # Initialize Mistral client
+        client = Mistral(api_key=api_key)
+        
+        # Get signed URL and process OCR again (we could cache this)
+        signed_url = client.files.get_signed_url(file_id=file_id, expiry=1)
+        
+        ocr_response = client.ocr.process(
+            model="mistral-ocr-latest",
+            document={
+                "type": "document_url",
+                "document_url": signed_url.url,
+            },
+            include_image_base64=True
+        )
+        
+        # Find the requested image
+        for page in ocr_response.pages:
+            for img in page.images:
+                if img.id == image_id:
+                    return {
+                        "image_id": image_id,
+                        "image_base64": img.image_base64,
+                        "coordinates": {
+                            "top_left_x": img.top_left_x,
+                            "top_left_y": img.top_left_y,
+                            "bottom_right_x": img.bottom_right_x,
+                            "bottom_right_y": img.bottom_right_y
+                        }
+                    }
+        
+        raise HTTPException(status_code=404, detail=f"Image {image_id} not found")
+        
+    except Exception as e:
+        print(f"❌ Error getting image: {e}")
+        raise HTTPException(status_code=500, detail=f"Error getting image: {str(e)}")

backend/requirements.txt

@@ -1,5 +1,5 @@
 uvicorn[standard]
 fastapi==0.115.7
-torch==2.5.1
-transformers==4.48.1
 python-multipart>=0.0.5
+mistralai
+python-dotenv

frontend/package-lock.json

@@ -10,11 +10,16 @@
       "dependencies": {
         "@tailwindcss/postcss": "^4.1.11",
         "autoprefixer": "^10.4.21",
+        "katex": "^0.16.22",
         "postcss": "^8.5.6",
         "react": "^18.3.1",
         "react-dom": "^18.3.1",
+        "react-katex": "^3.1.0",
+        "react-markdown": "^10.1.0",
         "react-pdf": "^10.0.1",
         "react-router-dom": "^7.7.0",
+        "rehype-katex": "^7.0.1",
+        "remark-math": "^6.0.0",
         "tailwindcss": "^4.1.11"
       },
       "devDependencies": {
@@ -1823,13 +1828,39 @@
         "@babel/types": "^7.20.7"
       }
     },
+    "node_modules/@types/debug": {
+      "version": "4.1.12",
+      "resolved": "https://registry.npmjs.org/@types/debug/-/debug-4.1.12.tgz",
+      "integrity": "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/ms": "*"
+      }
+    },
     "node_modules/@types/estree": {
       "version": "1.0.8",
       "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.8.tgz",
       "integrity": "sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w==",
-      "dev": true,
       "license": "MIT"
     },
+    "node_modules/@types/estree-jsx": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@types/estree-jsx/-/estree-jsx-1.0.5.tgz",
+      "integrity": "sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/estree": "*"
+      }
+    },
+    "node_modules/@types/hast": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-3.0.4.tgz",
+      "integrity": "sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "*"
+      }
+    },
     "node_modules/@types/json-schema": {
       "version": "7.0.15",
       "resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz",
@@ -1837,11 +1868,31 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/@types/katex": {
+      "version": "0.16.7",
+      "resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.16.7.tgz",
+      "integrity": "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ==",
+      "license": "MIT"
+    },
+    "node_modules/@types/mdast": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz",
+      "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "*"
+      }
+    },
+    "node_modules/@types/ms": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@types/ms/-/ms-2.1.0.tgz",
+      "integrity": "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==",
+      "license": "MIT"
+    },
     "node_modules/@types/react": {
       "version": "19.1.8",
       "resolved": "https://registry.npmjs.org/@types/react/-/react-19.1.8.tgz",
       "integrity": "sha512-AwAfQ2Wa5bCx9WP8nZL2uMZWod7J7/JSplxbTmBQ5ms6QpqNYm672H0Vu9ZVKVngQ+ii4R/byguVEUZQyeg44g==",
-      "devOptional": true,
       "license": "MIT",
       "dependencies": {
         "csstype": "^3.0.2"
@@ -1857,6 +1908,18 @@
         "@types/react": "^19.0.0"
       }
     },
+    "node_modules/@types/unist": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz",
+      "integrity": "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==",
+      "license": "MIT"
+    },
+    "node_modules/@ungap/structured-clone": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/@ungap/structured-clone/-/structured-clone-1.3.0.tgz",
+      "integrity": "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g==",
+      "license": "ISC"
+    },
     "node_modules/@vitejs/plugin-react": {
       "version": "4.7.0",
       "resolved": "https://registry.npmjs.org/@vitejs/plugin-react/-/plugin-react-4.7.0.tgz",
@@ -1978,6 +2041,16 @@
         "postcss": "^8.1.0"
       }
     },
+    "node_modules/bail": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/bail/-/bail-2.0.2.tgz",
+      "integrity": "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
     "node_modules/balanced-match": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
@@ -2058,6 +2131,16 @@
       ],
       "license": "CC-BY-4.0"
     },
+    "node_modules/ccount": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
+      "integrity": "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
     "node_modules/chalk": {
       "version": "4.1.2",
       "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
@@ -2075,6 +2158,46 @@
         "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
+    "node_modules/character-entities": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz",
+      "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/character-entities-html4": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/character-entities-html4/-/character-entities-html4-2.1.0.tgz",
+      "integrity": "sha512-1v7fgQRj6hnSwFpq1Eu0ynr/CDEw0rXo2B61qXrLNdHZmPKgb7fqS1a2JwF0rISo9q77jDI8VMEHoApn8qDoZA==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/character-entities-legacy": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-3.0.0.tgz",
+      "integrity": "sha512-RpPp0asT/6ufRm//AJVwpViZbGM/MkjQFxJccQRHmISF/22NBtsHqAWmL+/pmkPWoIUJdWyeVleTl1wydHATVQ==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/character-reference-invalid": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-2.0.1.tgz",
+      "integrity": "sha512-iBZ4F4wRbyORVsu0jPV7gXkOsGYjGHPmAyv+HiHG8gi5PtC9KI2j1+v8/tlibRvjoWX027ypmG/n0HtO5t7unw==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
     "node_modules/chownr": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/chownr/-/chownr-3.0.0.tgz",
@@ -2113,6 +2236,25 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/comma-separated-tokens": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz",
+      "integrity": "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/commander": {
+      "version": "8.3.0",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
+      "integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 12"
+      }
+    },
     "node_modules/concat-map": {
       "version": "0.0.1",
       "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
@@ -2155,14 +2297,12 @@
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
       "integrity": "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw==",
-      "devOptional": true,
       "license": "MIT"
     },
     "node_modules/debug": {
       "version": "4.4.1",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.1.tgz",
       "integrity": "sha512-KcKCqiftBJcZr++7ykoDIEwSa3XWowTfNPo92BYxjXiyYEVrUQh2aLyhxBCwww+heortUFxEJYcRzosstTEBYQ==",
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+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-visit": "^5.0.0"
+      },
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+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/unist-util-stringify-position": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-4.0.0.tgz",
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+    "node_modules/unist-util-visit": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-5.0.0.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0",
+        "unist-util-visit-parents": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/unist-util-visit-parents": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.1.tgz",
+      "integrity": "sha512-L/PqWzfTP9lzzEa6CKs0k2nARxTdZduw3zyh8d2NVBnsyvHjSX4TWse388YrrQKbvI8w20fGjGlhgT96WwKykw==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz",
@@ -3728,6 +5181,48 @@
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/vfile": {
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz",
+      "integrity": "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "vfile-message": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/vfile-location": {
+      "version": "5.0.3",
+      "resolved": "https://registry.npmjs.org/vfile-location/-/vfile-location-5.0.3.tgz",
+      "integrity": "sha512-5yXvWDEgqeiYiBe1lbxYF7UMAIm/IcopxMHrMQDq3nvKcjPKIhZklUKL+AE7J7uApI4kwe2snsK+eI6UTj9EHg==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "vfile": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/vfile-message": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-4.0.3.tgz",
+      "integrity": "sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-stringify-position": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
     "node_modules/vite": {
       "version": "7.0.6",
       "resolved": "https://registry.npmjs.org/vite/-/vite-7.0.6.tgz",
@@ -3812,6 +5307,16 @@
         "loose-envify": "^1.0.0"
       }
     },
+    "node_modules/web-namespaces": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/web-namespaces/-/web-namespaces-2.0.1.tgz",
+      "integrity": "sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
     "node_modules/which": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -3857,6 +5362,16 @@
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
+    },
+    "node_modules/zwitch": {
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+      "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
     }
   }
 }

frontend/package.json

@@ -12,11 +12,16 @@
   "dependencies": {
     "@tailwindcss/postcss": "^4.1.11",
     "autoprefixer": "^10.4.21",
+    "katex": "^0.16.22",
     "postcss": "^8.5.6",
     "react": "^18.3.1",
     "react-dom": "^18.3.1",
+    "react-katex": "^3.1.0",
+    "react-markdown": "^10.1.0",
     "react-pdf": "^10.0.1",
     "react-router-dom": "^7.7.0",
+    "rehype-katex": "^7.0.1",
+    "remark-math": "^6.0.0",
     "tailwindcss": "^4.1.11"
   },
   "devDependencies": {

frontend/src/App.jsx

@@ -1,6 +1,7 @@
 import { BrowserRouter as Router, Routes, Route } from 'react-router-dom';
 import Homepage from './components/Homepage';
 import UploadPage from './components/UploadPage';
+import DocumentProcessor from './components/DocumentProcessor';
 
 function App() {
   return (
@@ -8,6 +9,7 @@ function App() {
       <Routes>
         <Route path="/" element={<Homepage />} />
         <Route path="/upload" element={<UploadPage />} />
+        <Route path="/process" element={<DocumentProcessor />} />
       </Routes>
     </Router>
   );

frontend/src/components/DocumentProcessor.jsx

@@ -0,0 +1,292 @@
+import { useState, useRef } from 'react';
+import ReactMarkdown from 'react-markdown';
+import { Document, Page, pdfjs } from 'react-pdf';
+import remarkMath from 'remark-math';
+import rehypeKatex from 'rehype-katex';
+import 'katex/dist/katex.min.css';
+import 'react-pdf/dist/Page/AnnotationLayer.css';
+import 'react-pdf/dist/Page/TextLayer.css';
+
+pdfjs.GlobalWorkerOptions.workerSrc = '/pdf.worker.min.js';
+
+function DocumentProcessor() {
+    const fileInputRef = useRef(null);
+    const [selectedFile, setSelectedFile] = useState(null);
+    const [processing, setProcessing] = useState(false);
+    const [uploadProgress, setUploadProgress] = useState(0);
+    const [ocrProgress, setOcrProgress] = useState(0);
+    const [documentData, setDocumentData] = useState(null);
+    const [showPdfViewer, setShowPdfViewer] = useState(false);
+    const [numPages, setNumPages] = useState(null);
+
+    const handleFileChange = (e) => {
+        setSelectedFile(e.target.files[0]);
+        setDocumentData(null);
+        setUploadProgress(0);
+        setOcrProgress(0);
+    };
+
+    const processDocument = async () => {
+        if (!selectedFile) return;
+
+        setProcessing(true);
+        setUploadProgress(0);
+        setOcrProgress(0);
+
+        try {
+            // Step 1: Upload PDF
+            const formData = new FormData();
+            formData.append('file', selectedFile);
+
+            setUploadProgress(30);
+            const uploadResponse = await fetch('http://localhost:8000/upload_pdf', {
+                method: 'POST',
+                body: formData,
+            });
+
+            if (!uploadResponse.ok) {
+                throw new Error('Failed to upload PDF');
+            }
+
+            const uploadData = await uploadResponse.json();
+            setUploadProgress(100);
+            
+            // Step 2: Process OCR
+            setOcrProgress(20);
+            await new Promise(resolve => setTimeout(resolve, 500)); // Small delay for UX
+            
+            setOcrProgress(60);
+            const ocrResponse = await fetch(`http://localhost:8000/process_ocr/${uploadData.file_id}`);
+            
+            if (!ocrResponse.ok) {
+                throw new Error('Failed to process OCR');
+            }
+
+            const ocrData = await ocrResponse.json();
+            setOcrProgress(100);
+            
+            // Combine all markdown from pages
+            const combinedMarkdown = ocrData.pages
+                .map(page => page.markdown)
+                .join('\n\n---\n\n');
+
+            setDocumentData({
+                fileId: uploadData.file_id,
+                filename: uploadData.filename,
+                markdown: combinedMarkdown,
+                pages: ocrData.pages,
+                totalPages: ocrData.total_pages
+            });
+
+        } catch (error) {
+            console.error('Error processing document:', error);
+            alert('Error processing document: ' + error.message);
+        } finally {
+            setProcessing(false);
+        }
+    };
+
+    const LoadingAnimation = () => (
+        <div className="flex flex-col items-center justify-center min-h-screen bg-gray-50">
+            <div className="text-center max-w-md">
+                <div className="mb-8">
+                    <div className="w-16 h-16 border-4 border-blue-500 border-t-transparent rounded-full animate-spin mx-auto mb-4"></div>
+                    <h2 className="text-2xl font-bold text-gray-900 mb-2">Processing Your Document</h2>
+                    <p className="text-gray-600">This may take a moment...</p>
+                </div>
+
+                {/* Upload Progress */}
+                <div className="mb-6">
+                    <div className="flex justify-between text-sm text-gray-600 mb-1">
+                        <span>Uploading PDF</span>
+                        <span>{uploadProgress}%</span>
+                    </div>
+                    <div className="w-full bg-gray-200 rounded-full h-2">
+                        <div 
+                            className="bg-blue-500 h-2 rounded-full transition-all duration-300"
+                            style={{ width: `${uploadProgress}%` }}
+                        ></div>
+                    </div>
+                </div>
+
+                {/* OCR Progress */}
+                <div className="mb-6">
+                    <div className="flex justify-between text-sm text-gray-600 mb-1">
+                        <span>Processing with AI</span>
+                        <span>{ocrProgress}%</span>
+                    </div>
+                    <div className="w-full bg-gray-200 rounded-full h-2">
+                        <div 
+                            className="bg-green-500 h-2 rounded-full transition-all duration-300"
+                            style={{ width: `${ocrProgress}%` }}
+                        ></div>
+                    </div>
+                </div>
+
+                <p className="text-sm text-gray-500">
+                    Using Mistral AI to extract text and understand your document structure...
+                </p>
+            </div>
+        </div>
+    );
+
+    const PdfViewer = () => (
+        <div className={`fixed bottom-4 left-4 bg-white rounded-lg shadow-xl border transition-all duration-300 ${
+            showPdfViewer ? 'w-80 h-96' : 'w-48 h-12'
+        }`}>
+            <div className="p-3 border-b flex justify-between items-center">
+                <span className="text-sm font-medium text-gray-700">Original PDF</span>
+                <button
+                    onClick={() => setShowPdfViewer(!showPdfViewer)}
+                    className="text-gray-500 hover:text-gray-700"
+                >
+                    {showPdfViewer ? (
+                        <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                            <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
+                        </svg>
+                    ) : (
+                        <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                            <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 15l7-7 7 7" />
+                        </svg>
+                    )}
+                </button>
+            </div>
+            
+            {showPdfViewer && (
+                <div className="h-80 overflow-auto">
+                    <Document
+                        file={selectedFile}
+                        onLoadSuccess={({ numPages }) => setNumPages(numPages)}
+                    >
+                        {numPages && Array.from(new Array(numPages), (_, index) => (
+                            <div key={index + 1} className="mb-2">
+                                <Page 
+                                    pageNumber={index + 1} 
+                                    width={280}
+                                />
+                            </div>
+                        ))}
+                    </Document>
+                </div>
+            )}
+        </div>
+    );
+
+    if (!selectedFile) {
+        return (
+            <div className="flex items-center justify-center min-h-screen bg-gray-50">
+                <div className="text-center">
+                    <h1 className="text-4xl font-bold text-gray-900 mb-4">
+                        SokratesAI
+                    </h1>
+                    <p className="text-gray-600 mb-8 text-lg">
+                        Upload your PDF and let AI transform it into interactive lessons
+                    </p>
+                    <input
+                        ref={fileInputRef}
+                        type="file"
+                        accept=".pdf"
+                        className="hidden"
+                        onChange={handleFileChange}
+                    />
+                    <button
+                        onClick={() => fileInputRef.current.click()}
+                        className="bg-blue-600 hover:bg-blue-700 text-white font-bold py-3 px-8 rounded-lg text-lg transition-colors"
+                    >
+                        Upload PDF
+                    </button>
+                </div>
+            </div>
+        );
+    }
+
+    if (processing) {
+        return <LoadingAnimation />;
+    }
+
+    if (!documentData) {
+        return (
+            <div className="flex items-center justify-center min-h-screen bg-gray-50">
+                <div className="text-center">
+                    <h1 className="text-2xl font-bold text-gray-900 mb-4">
+                        Ready to Process: {selectedFile.name}
+                    </h1>
+                    <p className="text-gray-600 mb-8">
+                        Click below to extract text and create your interactive document
+                    </p>
+                    <button
+                        onClick={processDocument}
+                        className="bg-green-600 hover:bg-green-700 text-white font-bold py-3 px-8 rounded-lg text-lg transition-colors mr-4"
+                    >
+                        Process Document
+                    </button>
+                    <button
+                        onClick={() => setSelectedFile(null)}
+                        className="bg-gray-500 hover:bg-gray-600 text-white font-bold py-3 px-8 rounded-lg text-lg transition-colors"
+                    >
+                        Choose Different File
+                    </button>
+                </div>
+            </div>
+        );
+    }
+
+    return (
+        <div className="min-h-screen bg-gray-50">
+            {/* Header */}
+            <div className="bg-white shadow-sm border-b">
+                <div className="max-w-6xl mx-auto px-4 py-4 flex justify-between items-center">
+                    <div>
+                        <h1 className="text-xl font-bold text-gray-900">{documentData.filename}</h1>
+                        <p className="text-sm text-gray-600">{documentData.totalPages} pages processed</p>
+                    </div>
+                    <button
+                        onClick={() => setSelectedFile(null)}
+                        className="bg-blue-600 hover:bg-blue-700 text-white px-4 py-2 rounded-lg transition-colors"
+                    >
+                        Upload New Document
+                    </button>
+                </div>
+            </div>
+
+            {/* Document Content */}
+            <div className="max-w-4xl mx-auto px-4 py-8">
+                <div className="bg-white rounded-lg shadow-sm border p-8">
+                    <ReactMarkdown
+                        remarkPlugins={[remarkMath]}
+                        rehypePlugins={[rehypeKatex]}
+                        className="prose prose-lg max-w-none"
+                        components={{
+                            h1: ({ children }) => <h1 className="text-3xl font-bold mb-6 text-gray-900">{children}</h1>,
+                            h2: ({ children }) => <h2 className="text-2xl font-bold mb-4 text-gray-900 mt-8">{children}</h2>,
+                            h3: ({ children }) => <h3 className="text-xl font-bold mb-3 text-gray-900 mt-6">{children}</h3>,
+                            p: ({ children }) => <p className="mb-4 text-gray-700 leading-relaxed">{children}</p>,
+                            hr: () => <hr className="my-8 border-gray-300" />,
+                            ul: ({ children }) => <ul className="mb-4 ml-6 list-disc">{children}</ul>,
+                            ol: ({ children }) => <ol className="mb-4 ml-6 list-decimal">{children}</ol>,
+                            li: ({ children }) => <li className="mb-1 text-gray-700">{children}</li>,
+                            blockquote: ({ children }) => (
+                                <blockquote className="border-l-4 border-blue-500 pl-4 italic my-4 text-gray-600">
+                                    {children}
+                                </blockquote>
+                            ),
+                            code: ({ inline, children }) => 
+                                inline ? 
+                                <code className="bg-gray-100 px-1 py-0.5 rounded text-sm font-mono">{children}</code> :
+                                <pre className="bg-gray-100 p-4 rounded-lg overflow-x-auto my-4">
+                                    <code className="text-sm font-mono">{children}</code>
+                                </pre>
+                        }}
+                    >
+                        {documentData.markdown}
+                    </ReactMarkdown>
+                </div>
+            </div>
+
+            {/* PDF Viewer */}
+            <PdfViewer />
+        </div>
+    );
+}
+
+export default DocumentProcessor;

frontend/src/components/Homepage.jsx

@@ -5,17 +5,25 @@ function Homepage() {
     <div className="min-h-screen bg-gray-50 flex items-center justify-center">
       <div className="text-center">
         <h1 className="text-4xl font-bold text-gray-900 mb-4">
-          PDF Interrogation App
+          SokratesAI
         </h1>
         <p className="text-lg text-gray-600 mb-8">
-          Upload a PDF and engage in interactive learning through AI-powered Socratic questioning
+          Transform your PDFs into interactive learning experiences with AI-powered document processing
         </p>
-        <Link 
-          to="/upload" 
-          className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-3 px-6 rounded-lg transition-colors duration-200 inline-block"
-        >
-          Get Started
-        </Link>
+        <div className="space-x-4">
+          <Link 
+            to="/process" 
+            className="bg-blue-600 hover:bg-blue-700 text-white font-bold py-3 px-6 rounded-lg transition-colors duration-200 inline-block"
+          >
+            Process Document
+          </Link>
+          <Link 
+            to="/upload" 
+            className="bg-gray-500 hover:bg-gray-600 text-white font-bold py-3 px-6 rounded-lg transition-colors duration-200 inline-block"
+          >
+            Legacy Upload
+          </Link>
+        </div>
       </div>
     </div>
   );

frontend/src/components/UploadPage.jsx

@@ -13,6 +13,46 @@ function UploadPage() {
     const [currentPage, setCurrentPage] = useState(1);
     const [zoomLevel, setZoomLevel] = useState(1);
     const [visiblePages, setVisiblePages] = useState(new Set([1]));
+    const [chunks, setChunks] = useState([]);
+    const [processing, setProcessing] = useState(false);
+
+    const handleFileChange = (e) => {
+        setSelectedFile(e.target.files[0]);
+        setChunks([]); // Clear previous chunks
+    };
+
+    const processPdf = async () => {
+        if (!selectedFile) return;
+
+        setProcessing(true);
+        const formData = new FormData();
+        formData.append('file', selectedFile);
+
+        try {
+            const response = await fetch('http://localhost:8000/upload_pdf', {
+                method: 'POST',
+                body: formData,
+            });
+
+            if (response.ok) {
+                const data = await response.json();
+                // Handle the new response format - create a fake chunk array for now
+                setChunks([{
+                    text: `File processed: ${data.filename}`,
+                    page_number: 1,
+                    chunk_type: "info",
+                    size: data.size,
+                    has_api_key: data.has_api_key
+                }]);
+            } else {
+                console.error('Failed to process PDF');
+            }
+        } catch (error) {
+            console.error('Error processing PDF:', error);
+        } finally {
+            setProcessing(false);
+        }
+    };
 
     // Handle scroll to update current page and track visible pages
     const handleScroll = () => {
@@ -92,7 +132,7 @@ function UploadPage() {
                 type="file"
                 accept=".pdf"
                 className="hidden"
-                onChange={(e) => setSelectedFile(e.target.files[0])}
+                onChange={handleFileChange}
                 />
                 <button
                 onClick={() => fileInputRef.current.click()}
@@ -211,7 +251,21 @@ function UploadPage() {
             
             <div className="flex-1 bg-gray-100 overflow-auto">
                 <div className="p-4">
-                    Chat will go here
+                    <button
+                        onClick={processPdf}
+                        disabled={processing}
+                        className="bg-green-500 hover:bg-green-700 text-white font-bold py-2 px-4 rounded mb-4"
+                    >
+                        {processing ? 'Processing...' : 'Process PDF'}
+                    </button>
+                    <div>
+                        {chunks.map((chunk, index) => (
+                            <div key={index} className="bg-white p-4 rounded-lg shadow mb-4">
+                                <p className="text-sm text-gray-600">Page: {chunk.page_number}, Type: {chunk.chunk_type}</p>
+                                <p className="text-gray-800">{chunk.text}</p>
+                            </div>
+                        ))}
+                    </div>
                 </div>
             </div>
             </div>