Update app.py

app.py

@@ -1,17 +1,17 @@
-# app.py
 import os
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
 model_id = "meta-llama/Llama-3.1-8B-Instruct"
-token = os.environ.get("venkat")  # 🔐 Get the token from environment variable
+token = os.getenv("kumar")
 
 tokenizer = AutoTokenizer.from_pretrained(model_id, token=token)
 model = AutoModelForCausalLM.from_pretrained(model_id, token=token, device_map="auto")
+
 pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 def chat_with_llama(prompt):
     result = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7)
-    return result[0]['generated_text']
- 
-gr.Interface(fn=chat_with_llama, inputs="text", outputs="text", title="Venkat Assistant").launch()
+    return result[0]["generated_text"]
+
+gr.Interface(fn=chat_with_llama, inputs="text", outputs="text", title="Venkat's Chatbot").launch()