Update app.py

app.py

@@ -1,4 +1,5 @@
-from fastapi import FastAPI, HTTPException
+from fastapi import FastAPI, File, UploadFile, HTTPException
+from fastapi.responses import JSONResponse
 from transformers import pipeline
 from PIL import Image
 import io
@@ -8,14 +9,13 @@ app = FastAPI()
 # Load the image classification pipeline
 pipe = pipeline("image-classification", model="mateoluksenberg/dit-base-Classifier_CM05")
 
-# Sample image path (for testing)
-image_path = 'cm5.jpg'
-
-# Async function to classify an image
-async def classify_image(image_path: str):
+@app.post("/classify/")
+async def classify_image(file: UploadFile = File(...)):
     try:
-        image = Image.open(image_path).convert('RGB')
+        # Read the file contents into a PIL image
+        image = Image.open(file.file).convert('RGB')
 
+        # Convert the image to bytes
         image_bytes = io.BytesIO()
         image.save(image_bytes, format='JPEG')
         image_bytes = image_bytes.getvalue()
@@ -23,21 +23,16 @@ async def classify_image(image_path: str):
         # Perform image classification
         result = pipe(image_bytes)
 
-        return result[0]  # Return the top prediction
+        return {"classification_result": result[0]}  # Return the top prediction
 
     except Exception as e:
         # Handle exceptions, for example: file not found, image format issues, etc.
         raise HTTPException(status_code=500, detail=f"Error processing image: {str(e)}")
 
 @app.get("/")
-async def home(image_path: str = image_path):
-    try:
-        result = await classify_image(image_path)
-        return {"message": "Hello World", "classification_result": result}
-
-    except HTTPException as e:
-        raise e
-
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Error classifying image: {str(e)}")
+async def home():
+    return {"message": "Hello World"}
 
+# Sample usage:
+# 1. Start the FastAPI server
+# 2. Use a tool like Postman or curl to send a POST request to /classify/ with an image file