Update app.py

app.py

@@ -17,18 +17,22 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
 
 DESCRIPTION = '''
 <div>
-<h1 style="text-align: center;">PhysisciaAI</h1>
-
+<h1 style="text-align: center;">Meta Llama3 8B</h1>
+<p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"><b>Meta Llama3 8b Chat</b></a>. Meta Llama3 is the new open LLM and comes in two sizes: 8b and 70b. Feel free to play with it, or duplicate to run privately!</p>
+<p>🔎 For more details about the Llama3 release and how to use the model with <code>transformers</code>, take a look <a href="https://huggingface.co/blog/llama3">at our blog post</a>.</p>
+<p>🦕 Looking for an even more powerful model? Check out the <a href="https://huggingface.co/chat/"><b>Hugging Chat</b></a> integration for Meta Llama 3 70b</p>
+</div>
 '''
 
 LICENSE = """
 <p/>
-
-Built with Mistral 7B Model
+---
+Built with Meta Llama 3
+"""
 
 PLACEHOLDER = """
 <div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
-   <img src="https://www.thesmartcityjournal.com/images/Imagenes-Articulos/2023_09_Septiembre/AI_in_healthcare.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
+   <img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/8e75e61cc9bab22b7ce3dec85ab0e6db1da5d107/Meta_lockup_positive%20primary_RGB.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
    <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Meta llama3</h1>
    <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything...</p>
 </div>
@@ -40,7 +44,6 @@ h1 {
   text-align: center;
   display: block;
 }
-
 #duplicate-button {
   margin: auto;
   color: white;
@@ -56,11 +59,6 @@ model = PeftModel.from_pretrained(model, "physician-ai/mistral-finetuned1",use_a
 tokenizer = AutoTokenizer.from_pretrained("physician-ai/mistral-finetuned1",use_auth_token=access_token)
 text_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=1024, temperature=0.8, top_p=0.95, repetition_penalty=1.15)
 
-terminators = [
-    tokenizer.eos_token_id,
-    tokenizer.convert_tokens_to_ids("<|eot_id|>")
-]
-
 @spaces.GPU(duration=120)
 def chat_llama3_8b(message: str, 
               history: list, 
@@ -135,11 +133,11 @@ with gr.Blocks(fill_height=True, css=css) as demo:
                       render=False ),
             ],
         examples=[
-            ["I've been experiencing persistent headaches, nausea, and sensitivity to light. What could be causing this?"],
-            ["Based on my diagnosis of type 2 diabetes, what are the recommended treatment options? Should I consider medication, lifestyle changes, or both?"],
-            ["I'm currently taking lisinopril for hypertension and atorvastatin for high cholesterol. Are there any potential interactions or side effects I should be aware of if I start taking ibuprofen for occasional pain relief?"],
-            ["I'm in my early 40s and have a family history of heart disease. What are some preventive measures I can take to lower my risk, besides regular exercise and a healthy diet?"],
-            ["Can you provide information on rheumatoid arthritis, including common symptoms, diagnostic tests, and available treatment options?"]
+            ['How to setup a human base on Mars? Give short answer.'],
+            ['Explain theory of relativity to me like I’m 8 years old.'],
+            ['What is 9,000 * 9,000?'],
+            ['Write a pun-filled happy birthday message to my friend Alex.'],
+            ['Justify why a penguin might make a good king of the jungle.']
             ],
         cache_examples=False,
                      )
@@ -147,5 +145,4 @@ with gr.Blocks(fill_height=True, css=css) as demo:
     gr.Markdown(LICENSE)
     
 if __name__ == "__main__":
-    demo.launch()
-    
+    demo.launch()