🚀 FINAL PUSH: Locked environment (Python 3.11) and stable dependencies.

README.md

@@ -2,14 +2,6 @@
 ---
 title: Sports Classifier
 emoji: 🏀
-colorFrom: blue
-colorTo: indigo
 sdk: gradio
-python_version: 3.11 # <--- THIS IS THE CRITICAL FIX for TypeError
+python_version: 3.11 
 ---
-
-# Sports Classifier
-
-A sports classifier trained on the images from Google using FastAI.
-
-Deployed via Kaggle Notebooks.

app.py

@@ -3,33 +3,31 @@ import gradio as gr
 from fastai.vision.all import *
 import os
 
-# --- Model Loading (Assumes model.pkl exists in the root) ---
 try:
-    learn = load_learner('export.pkl')
-except Exception:
-    print("Error loading export.pkl. Check file path/existence.")
+    learn = load_learner('model.pkl') 
+except Exception as e:
+    print(f"Error loading model.pkl: {e}")
     raise
 
 labels = learn.dls.vocab
 
 def predict(img):
     img = PILImage.create(img)
-    pred, pred_idx, probs = learn.predict(img)
+    pred, pred_idx, probs = learn.predict(img) 
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-# --- Interface Setup ---
 title = "Sports Classifier"
-description = "A sports classifier trained on the images from Google. Created as a demo for Gradio and HuggingFace Spaces."
-article="<p style='text-align: center'><a href='www.linkedin.com/in/shivamkswarnkar' target='_blank'>Linkedin Profile</a></p>"
-enable_queue=True
-examples = ["badminton.jpg", "cricket.jpg", "swimming.jpg"]
-demo = gr.Interface(fn=predict,
-             inputs=gr.Image(type="pil"),
-             outputs=gr.Label(num_top_classes=3),
-             title=title,
-             description=description,
-             article=article,
-             examples=examples)
+description = "A reliable deployment via minimal configuration."
+examples = ["badminton.jpg", "cricket.jpg", "swimming.jpg"] 
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    examples=examples
+)
 
 if __name__ == "__main__":
     demo.launch()

model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b037e5eb7f44f17f0e22a0d9386696c068a7d1b9b0d0cfd4770d3144f22b222
-size 87546221
+oid sha256:6737d72a9326a58064d6cc1e9900e9eb4578971f1556e9ff43dfe5afa37ed2e8
+size 87528813

requirements.txt

@@ -1,13 +1,8 @@
 
-# Locked FastAI version (Stable)
 fastai==2.7.12
-# Locked PyTorch version (Stable)
 torch<2.2
 torchvision<0.16
-
-# CRITICAL FIX: Lock NumPy to a 1.x version to avoid internal conflicts.
 numpy<2.0
-
 gradio
-cloudpickle
-scikit-image
+cloudpickle 
+fasttransform