Update app.py

app.py

@@ -5,13 +5,13 @@ import argparse
 from huggingface_hub import snapshot_download
 from llama_cpp import Llama
 
-repo_name = 'tolgadev/Trendyol-LLM-7b-chat-v0.1-GGUF'
-model_file = "trendyol-llm-7b-chat-v0.1.Q5_K_M.gguf"
+repo_name = 'mradermacher/Turkcell-LLM-7b-v1-GGUF'
+model_file = "Turkcell-LLM-7b-v1.Q5_K_M.gguf"
 
 snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_file)
 
 DEFAULT_MODEL_PATH = model_file
-llm = Llama(model_path=model_file, model_type="llama")
+llm = Llama(model_path=model_file, model_type="mistral")
 
 def predict(input, chatbot, max_length, top_p, temperature, history):
     chatbot.append((input, ""))
@@ -36,8 +36,8 @@ def reset_state():
     return [], []
 
 with gr.Blocks() as demo:
-    gr.HTML("""<h1 align="center">TrendyolLLM Chatbot Demo</h1>
-            <h3 align="center">This is unofficial demo of `tolgadev/Trendyol-LLM-7b-chat-v0.1-GGUF` model based on LLama2 architecture.</h3>
+    gr.HTML("""<h1 align="center">TurkcellLLM Chatbot Demo</h1>
+            <h3 align="center">This is unofficial demo of `mradermacher/Turkcell-LLM-7b-v1-GGUF` model based on Mistral architecture.</h3>
             <h4 align="center">Hit the like button if you liked! 🤗</h4>""")
 
     chatbot = gr.Chatbot()