nice

app.py

@@ -117,7 +117,7 @@ try:
 
         ADK_AGENT = Agent(
             name="AuraMindGlowAgent",
-            model="gemini-1.5-flash-001",
+            model="gemini-2.5-flash",
             description="A farming assistant that can diagnose plant health and suggest remedies.",
             instruction="You are a friendly farming assistant. Your goal is to help users identify plant health issues and find solutions. Use your tools to diagnose the plant from an image and then find a remedy.",
             tools=[DIAGNOSIS_TOOL, REMEDY_TOOL]

tools.py

@@ -25,13 +25,14 @@ def create_plant_diagnosis_tool(model: FastVisionModel, processor: AutoProcessor
 
         image = image.convert("RGB")
         messages = [
-            {"role": "user", "content": [{"type": "text", "text": "What is the condition of this maize plant? Provide only the name of the condition."}, {"type": "image", "image": image}]}
+            {"role": "user", "content": [{"type": "text", "text": "What is the condition of this maize plant?"}, {"type": "image", "image": image}]}
         ]
         text_prompt = processor.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
         inputs = processor(text=text_prompt, images=image, return_tensors="pt").to(model.device)
 
         with torch.inference_mode():
             outputs = model.generate(**inputs, max_new_tokens=48, use_cache=True)
+            print(f"Model outputs: {outputs}")
 
         response = processor.batch_decode(outputs, skip_special_tokens=True)[0]