Update app.py

app.py

@@ -13,29 +13,9 @@ LOCAL_FLAGS = "flags.json"             # You must save locally before push to hf
 
 print("Loading model...")
 
-llm = Llama.from_pretrained(
-    repo_id=MODEL_REPO,
-    filename=MODEL_FILE,
-    n_threads=2,
-    n_batch=128,
-    n_ctx=2048,
-    temperature=0.7
-)
-
 ### The Chat Model
 def chat_model(message, history):
-
-    # Retrieve the context
-    prompt = ""
-    for item in history:
-        role = item["role"]
-        text = item["content"][0]["text"]
-        prompt += f"<|{role}|>{text}\n"
-    prompt += f"<|user|>{message}\n<|assistant|>"
-
-    # Invoke the model
-    output = llm(prompt, max_tokens=350)
-    return output["choices"][0]["text"].strip()
+    return message[::-1]  # dummy: reverse text