import gradio as gr import torch from transformers import ViTForImageClassification, ViTFeatureExtractor from transformers import AutoModelForImageClassification, AutoFeatureExtractor # Load models with error handling try: model = ViTForImageClassification.from_pretrained("iamomtiwari/VITPEST") feature_extractor = ViTFeatureExtractor.from_pretrained("iamomtiwari/VITPEST") fallback_model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50") fallback_feature_extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50") except Exception as e: raise gr.Error(f"Model loading failed: {str(e)}") # Class labels and treatments (truncated for brevity) class_labels = { 1: {"label": "Stage Corn Common Rust", "treatment": "Apply fungicides as soon as symptoms are noticed. Practice crop rotation and remove infected plants."}, 2: {"label": "Stage Corn Gray Leaf Spot", "treatment": "Rotate crops to non-host plants, apply resistant varieties, and use fungicides as needed."}, 3: {"label": "Stage Safe Corn Healthy", "treatment": "Continue good agricultural practices: ensure proper irrigation, nutrient supply, and monitor for pests."}, 4: {"label": "Stage Corn Northern Leaf Blight", "treatment": "Remove and destroy infected plant debris, apply fungicides, and rotate crops."}, 5: {"label": "Stage Rice Brown Spot", "treatment": "Use resistant varieties, improve field drainage, and apply fungicides if necessary."}, 6: {"label": "Stage Safe Rice Healthy", "treatment": "Maintain proper irrigation, fertilization, and pest control measures."}, 7: {"label": "Stage Rice Leaf Blast", "treatment": "Use resistant varieties, apply fungicides during high-risk periods, and practice good field management."}, 8: {"label": "Stage Rice Neck Blast", "treatment": "Plant resistant varieties, improve nutrient management, and apply fungicides if symptoms appear."}, 9: {"label": "Stage Sugarcane Bacterial Blight", "treatment": "Use disease-free planting material, practice crop rotation, and destroy infected plants."}, 10: {"label": "Stage Safe Sugarcane Healthy", "treatment": "Maintain healthy soil conditions and proper irrigation."}, 11: {"label": "Stage Sugarcane Red Rot", "treatment": "Plant resistant varieties and ensure good drainage."}, 12: {"label": "Stage Wheat Brown Rust", "treatment": "Apply fungicides and practice crop rotation with non-host crops."}, 13: {"label": "Stage Safe Wheat Healthy", "treatment": "Continue with good management practices, including proper fertilization and weed control."}, 14: {"label": "Stage Wheat Yellow Rust", "treatment": "Use resistant varieties, apply fungicides, and rotate crops."} } labels_list = [class_labels[i]["label"] for i in range(1, 15)] CONFIDENCE_THRESHOLD = 0.5 def predict(image): try: if not isinstance(image, torch.Tensor): # Convert image to tensor if needed inputs = feature_extractor(images=image, return_tensors="pt") with torch.no_grad(): outputs = model(**inputs) logits = outputs.logits confidences = torch.softmax(logits, dim=-1) predicted_class_idx = logits.argmax(-1).item() confidence = confidences[0, predicted_class_idx].item() if confidence < CONFIDENCE_THRESHOLD: inputs_fallback = fallback_feature_extractor(images=image, return_tensors="pt") with torch.no_grad(): outputs_fallback = fallback_model(**inputs_fallback) predicted_class_idx_fallback = outputs_fallback.logits.argmax(-1).item() fallback_label = fallback_model.config.id2label[predicted_class_idx_fallback] return f"Low confidence ({confidence:.2%}). Fallback prediction: {fallback_label}" predicted_label = labels_list[predicted_class_idx] treatment = class_labels[predicted_class_idx + 1]["treatment"] return f"Disease: {predicted_label}\n\nTreatment: {treatment}" except Exception as e: return f"Error: {str(e)}" # Create interface with explicit types with gr.Blocks() as demo: gr.Markdown("# 🌱 Crop Disease Detection") gr.Markdown("Upload a crop plant image to detect diseases") with gr.Row(): image_input = gr.Image(type="pil") output_text = gr.Textbox() submit_btn = gr.Button("Analyze") submit_btn.click( fn=predict, inputs=image_input, outputs=output_text ) gr.Examples( examples=[["example_corn.jpg"], ["example_wheat.jpg"]], inputs=image_input ) if __name__ == "__main__": demo.launch() """# Define class labels with treatment advice class_labels = { 1: {"label": "Stage Corn Common Rust", "treatment": "Apply fungicides as soon as symptoms are noticed. Practice crop rotation and remove infected plants."}, 2: {"label": "Stage Corn Gray Leaf Spot", "treatment": "Rotate crops to non-host plants, apply resistant varieties, and use fungicides as needed."}, 3: {"label": "Stage Safe Corn Healthy", "treatment": "Continue good agricultural practices: ensure proper irrigation, nutrient supply, and monitor for pests."}, 4: {"label": "Stage Corn Northern Leaf Blight", "treatment": "Remove and destroy infected plant debris, apply fungicides, and rotate crops."}, 5: {"label": "Stage Rice Brown Spot", "treatment": "Use resistant varieties, improve field drainage, and apply fungicides if necessary."}, 6: {"label": "Stage Safe Rice Healthy", "treatment": "Maintain proper irrigation, fertilization, and pest control measures."}, 7: {"label": "Stage Rice Leaf Blast", "treatment": "Use resistant varieties, apply fungicides during high-risk periods, and practice good field management."}, 8: {"label": "Stage Rice Neck Blast", "treatment": "Plant resistant varieties, improve nutrient management, and apply fungicides if symptoms appear."}, 9: {"label": "Stage Sugarcane Bacterial Blight", "treatment": "Use disease-free planting material, practice crop rotation, and destroy infected plants."}, 10: {"label": "Stage Safe Sugarcane Healthy", "treatment": "Maintain healthy soil conditions and proper irrigation."}, 11: {"label": "Stage Sugarcane Red Rot", "treatment": "Plant resistant varieties and ensure good drainage."}, 12: {"label": "Stage Wheat Brown Rust", "treatment": "Apply fungicides and practice crop rotation with non-host crops."}, 13: {"label": "Stage Safe Wheat Healthy", "treatment": "Continue with good management practices, including proper fertilization and weed control."}, 14: {"label": "Stage Wheat Yellow Rust", "treatment": "Use resistant varieties, apply fungicides, and rotate crops."} }"""