Update app.py

app.py

@@ -1,7 +1,7 @@
 
-#!pip install -U "transformers==4.40.0" --upgrade
-#!pip install -i https://pypi.org/simple/ bitsandbytes
-#!pip install accelerate
+!pip install -U "transformers==4.40.0" --upgrade
+!pip install -i https://pypi.org/simple/ bitsandbytes
+!pip install accelerate
 
 import transformers
 import torch
@@ -103,52 +103,3 @@ with gr.Blocks() as demo:
 
 demo.queue()
 demo.launch(debug=True)
-'''
-
-import os
-from groq import Groq 
-import gradio as gr
-    
-client = Groq(api_key = os.environ.get("GROQ_API_KEY"), )
-
-system_prompt = {
-                "role": "system",
-                "content":
-                "You are a useful assistant. I would appreciate it if you reply with efficient answers. "
-                }
-
-async def chat_groq(message, history):
-    
-    messages = [system_prompt]
-    
-    for msg in history:
-        messages.append({"role": "user", "content": str(msg[0])})
-        messages.append({"role": "assistant", "content": str(msg[1])})
-        
-    messages.append({"role": "user", "content": str (message)})
-    
-    response_content = ''
-    
-    stream = client.chat.completions.create(
-                                            model="llama3-8b-8192",
-                                            messages=messages,
-                                            max_tokens=1024,
-                                            temperature=1.3,
-                                            stream=True
-                                        )
-
-    for chunk in stream:
-        content = chunk.choices[0].delta.content
-        if content:
-            response_content += chunk. choices[0].delta.content 
-        yield response_content
-
-with gr. Blocks(theme=gr.themes.Monochrome(), fill_height=True) as demo:
-    gr.ChatInterface(chat_groq,
-                     clear_btn=None, 
-                     undo_btn=None, 
-                     retry_btn=None,
-                    )
-
-demo.queue()
-demo.launch()'''