fix: adicionar validação antes de chamar classify

- Verificação do modelo selecionado antes de executar classificação
- Evita erro quando categorias são selecionadas acidentalmente
- Adicionado logo SVG original para o projeto

---
fix: add validation before calling classify

- Check selected model before running classification
- Prevents error when categories are accidentally selected
- Added original SVG logo for the project

app.py

@@ -94,6 +94,9 @@ MODELS = [
         ]
 
 def classify(image, model):
+    if model.startswith("--") or model.startswith("#"):
+        st.warning("Please select a valid model from the list")
+        return []
     model_name = model.replace(" << new >>", "")
     classifier = pipeline("image-classification", model=model_name)
     result= classifier(image)
@@ -150,14 +153,16 @@ def main():
         image_to_classify = Image.open(input_image)
         st.image(image_to_classify, caption="Uploaded Image")
         if st.button("Classify"):
-            image_to_classify = Image.open(input_image)
-            classification_obj1 =[]
-            #avable_models = st.selectbox
-            
-            classification_result = classify(image_to_classify, shosen_model)
-            classification_obj1.append(classification_result)
-            print_result(classification_result)
-            save_result(classification_result)
+            if shosen_model.startswith("--") or shosen_model.startswith("#"):
+                st.warning("Please select a valid model from the list")
+            else:
+                image_to_classify = Image.open(input_image)
+                classification_obj1=[]
+                
+                classification_result = classify(image_to_classify, shosen_model)
+                classification_obj1.append(classification_result)
+                print_result(classification_result)
+                save_result(classification_result)
 
 
 if __name__ == "__main__":