Upload 69 files

.gitattributes

@@ -33,3 +33,37 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/08e0a0df-54bf-4f6f-9aef-5656cfdc9d51.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/32360e28-c94c-4a9e-aad2-d3dcf0feed7a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/37bce10e-8365-498f-a7c7-c0aaad59b555.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/39caed1f-845a-4e09-9c62-5d557e3c9eed.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/5468d3cd-0dff-4d17-8f56-0333dbb66a1a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/5ba05f19-88f1-4780-a465-7cfaa5f68a05.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/649c0e73-e162-4189-b46b-6c92d168f7e4.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/6c32edbf-65da-4d88-8f33-4146d2b17951.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/7407f1e8-7f39-4a2b-91be-d5e7d6447bc4.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/747394f9-717d-4523-ac6b-911c6a4fff60.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/75ff8c1a-c4c9-4f3e-a125-6e9a59494faa.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/8a2f12d7-795a-479e-914c-c9ffb31f75b6.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/95be9105-ccbd-4580-9f8f-5ccd32700d1a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/b3eb6e20-1637-4ae8-87ad-55f09ceb3f80.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/c919d326-ca13-4105-a37d-cf61354f990a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/d1955d96-b974-44b0-a109-cb061564c33a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/e94a2d38-4a59-4f7e-b769-ba2e792c959d.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_08e0a0df-54bf-4f6f-9aef-5656cfdc9d51.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_32360e28-c94c-4a9e-aad2-d3dcf0feed7a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_37bce10e-8365-498f-a7c7-c0aaad59b555.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_39caed1f-845a-4e09-9c62-5d557e3c9eed.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_5468d3cd-0dff-4d17-8f56-0333dbb66a1a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_5ba05f19-88f1-4780-a465-7cfaa5f68a05.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_649c0e73-e162-4189-b46b-6c92d168f7e4.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_6c32edbf-65da-4d88-8f33-4146d2b17951.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_7407f1e8-7f39-4a2b-91be-d5e7d6447bc4.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_747394f9-717d-4523-ac6b-911c6a4fff60.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_75ff8c1a-c4c9-4f3e-a125-6e9a59494faa.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_8a2f12d7-795a-479e-914c-c9ffb31f75b6.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_95be9105-ccbd-4580-9f8f-5ccd32700d1a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_b3eb6e20-1637-4ae8-87ad-55f09ceb3f80.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_c919d326-ca13-4105-a37d-cf61354f990a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_d1955d96-b974-44b0-a109-cb061564c33a.jpg filter=lfs diff=lfs merge=lfs -text
+app/static/uploads/processed_e94a2d38-4a59-4f7e-b769-ba2e792c959d.jpg filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,29 @@
+# 1. Use an official lightweight Python image
+FROM python:3.10-slim
+
+# 2. Set the working directory inside the container
+WORKDIR /code
+
+# 3. Install system dependencies for OpenCV
+# (Required for cv2 to work on Linux containers)
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
+# 4. Copy requirements and install them
+# We rename requirements_deploy.txt to requirements.txt inside the container
+COPY ./requirements_deploy.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# 5. Copy your application code
+COPY ./app /code/app
+COPY ./models /code/models
+
+# 6. Create a directory for uploads (and set permissions)
+# This is CRITICAL for Hugging Face Spaces to allow file saving
+RUN mkdir -p /code/app/static/uploads && chmod 777 /code/app/static/uploads
+
+# 7. Command to run the application
+# Hugging Face expects the app to run on port 7860 by default
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

app/config.py

@@ -0,0 +1,16 @@
+import os
+from pathlib import Path
+from dotenv import load_dotenv
+
+load_dotenv()
+
+BASE_DIR = Path(__file__).resolve().parent.parent
+MODEL_PATH = BASE_DIR / "models" / "cardd_yolo11s_640_final.pt"
+UPLOAD_DIR = BASE_DIR / "app" / "static" / "uploads"
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+# Ensure upload directory exists
+UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
+
+if not GROQ_API_KEY:
+    print("Warning: GROQ_API_KEY not found in environment variables. Groq features will fail.")

app/main.py

@@ -0,0 +1,80 @@
+from fastapi import FastAPI, Request, UploadFile, File, Form, HTTPException
+from fastapi.responses import HTMLResponse, JSONResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+from pathlib import Path
+import shutil
+import uuid
+import logging
+import time
+from datetime import datetime
+from .config import UPLOAD_DIR
+from .utils import run_inference, generate_insurance_report
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = FastAPI(title="Car Damage Detection System")
+
+# Mount static files
+app.mount("/static", StaticFiles(directory="app/static"), name="static")
+
+templates = Jinja2Templates(directory="app/templates")
+
+@app.get("/", response_class=HTMLResponse)
+async def read_root(request: Request):
+    return templates.TemplateResponse("index.html", {"request": request})
+
+@app.post("/analyze")
+async def analyze_image(
+    file: UploadFile = File(...),
+    make: str = Form(...),
+    model: str = Form(...),
+    year: str = Form(...)
+):
+    try:
+        # Validate file type
+        if not file.content_type.startswith("image/"):
+            raise HTTPException(status_code=400, detail="File must be an image")
+
+        # Save uploaded file
+        file_extension = Path(file.filename).suffix
+        unique_filename = f"{uuid.uuid4()}{file_extension}"
+        input_path = UPLOAD_DIR / unique_filename
+        output_filename = f"processed_{unique_filename}"
+        output_path = UPLOAD_DIR / output_filename
+        
+        logger.info(f"Saving uploaded file to {input_path}")
+        with open(input_path, "wb") as buffer:
+            shutil.copyfileobj(file.file, buffer)
+            
+        # Run Inference
+        logger.info("Running inference...")
+        inference_result = run_inference(str(input_path), str(output_path))
+        
+        # Generate Report
+        logger.info("Generating report...")
+        report = generate_insurance_report(inference_result, make, model, year)
+        
+        # Generate Report ID
+        report_id = f"DA-{datetime.now().strftime('%Y%m%d')}-{uuid.uuid4().hex[:4].upper()}"
+        
+        return JSONResponse({
+            "status": "success",
+            "original_image": f"/static/uploads/{unique_filename}",
+            "processed_image": f"/static/uploads/{output_filename}",
+            "inference_data": inference_result,
+            "report": report,
+            "report_meta": {
+                "id": report_id,
+                "timestamp": datetime.now().strftime("%B %d, %Y, %I:%M %p")
+            }
+        })
+
+    except Exception as e:
+        logger.error(f"Error processing request: {e}")
+        return JSONResponse(
+            status_code=500,
+            content={"status": "error", "message": str(e)}
+        )