Create app.py

app.py

@@ -0,0 +1,33 @@
+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+from ollama import Ollama
+from PIL import Image
+import io
+
+app = FastAPI(title="Civic Image Analysis API - LLaVA")
+
+# Initialize Ollama client
+client = Ollama()
+
+@app.post("/analyze")
+async def analyze(file: UploadFile = File(...), prompt: str = "Classify the civic issue in this image"):
+    try:
+        # Read image bytes
+        image_bytes = await file.read()
+        image = Image.open(io.BytesIO(image_bytes)).convert("RGB")
+        
+        # Save temporarily to pass path to Ollama (if required)
+        image_path = f"/tmp/{file.filename}"
+        image.save(image_path)
+        
+        # Call Ollama model
+        response = client.call(
+            model="llava",
+            prompt=prompt,
+            image_path=image_path
+        )
+        
+        return JSONResponse({"analysis": response})
+
+    except Exception as e:
+        return JSONResponse({"error": str(e)}, status_code=500)