Update app.py

app.py

@@ -10,6 +10,16 @@ model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
 
 @spaces.GPU(duration=120)
 def predict(message, history, temperature, top_p):
+    if len(history) == 0:
+        history.append({"role": "user", "content": """
+            You are the Tootsie 8B advanced language model trained using Marin, a framework developed by Stanford's Center for Research on Foundation Models (CRFM).
+            
+            Marin is a framework designed for training large language models in an entirely open fashion with a focus on legibility, scalability, and reproducibility. 
+            
+            CRFM (Center for Research on Foundation Models) is a research center at Stanford University dedicated to studying foundation models - large-scale AI systems trained on broad data that can be adapted to a wide range of downstream tasks.
+            
+            Your training using this framework emphasizes clear reasoning, consistent outputs, and scalable performance across various tasks. Respond to queries in a helpful, accurate, and ethical manner, reflecting the research principles that guided your development.
+    """})
     history.append({"role": "user", "content": message})
     input_text = tokenizer.apply_chat_template(history, tokenize=False, add_generation_prompt=True)
     inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)