Changed Scikit learn to 1.2.2 From 1.6.1

app.py

@@ -96,8 +96,9 @@ async def predict_burn(file: UploadFile = File(...)):
             temp_file.write(await file.read())
 
         # Upload the file to Cloudinary
-        upload_result = cloudinary.uploader.upload(temp_file_path, public_id=f"predict_{file.filename}")
-        cloudinary_url = upload_result["secure_url"]
+        #upload_result = cloudinary.uploader.upload(temp_file_path, public_id=f"predict_{file.filename}")
+        #cloudinary_url = upload_result["secure_url"]
+        cloudinary_url = "https:facebook.com"
 
         # Load the saved SVM model
         with open('svm_model.pkl', 'rb') as model_file:
@@ -127,9 +128,9 @@ async def predict_burn(file: UploadFile = File(...)):
             prediction_label = "Zero Class"
 
         # Save result to MongoDB
-        collection = db["Predictions"]
-        doc = {"filename": file.filename, "url": cloudinary_url, "prediction": prediction_label}
-        collection.insert_one(doc)
+        #collection = db["Predictions"]
+        #doc = {"filename": file.filename, "url": cloudinary_url, "prediction": prediction_label}
+        #collection.insert_one(doc)
             
         return {
             "prediction": prediction_label,

main.py

@@ -96,8 +96,9 @@ async def predict_burn(file: UploadFile = File(...)):
             temp_file.write(await file.read())
 
         # Upload the file to Cloudinary
-        upload_result = cloudinary.uploader.upload(temp_file_path, public_id=f"predict_{file.filename}")
-        cloudinary_url = upload_result["secure_url"]
+        #upload_result = cloudinary.uploader.upload(temp_file_path, public_id=f"predict_{file.filename}")
+        #cloudinary_url = upload_result["secure_url"]
+        cloudinary_url = "https:facebook.com"
 
         # Load the saved SVM model
         with open('svm_model.pkl', 'rb') as model_file:
@@ -127,9 +128,9 @@ async def predict_burn(file: UploadFile = File(...)):
             prediction_label = "Zero Class"
 
         # Save result to MongoDB
-        collection = db["Predictions"]
-        doc = {"filename": file.filename, "url": cloudinary_url, "prediction": prediction_label}
-        collection.insert_one(doc)
+        #collection = db["Predictions"]
+        #doc = {"filename": file.filename, "url": cloudinary_url, "prediction": prediction_label}
+        #collection.insert_one(doc)
             
         return {
             "prediction": prediction_label,

requirements.txt

@@ -71,7 +71,7 @@ PyYAML==6.0.2
 requests==2.32.3
 rich==14.0.0
 scikit-image==0.25.2
-scikit-learn==1.6.1
+scikit-learn==1.2.2
 scipy==1.15.2
 seaborn==0.13.2
 six==1.17.0