Update app.py

app.py

@@ -12,23 +12,17 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
 DESCRIPTION = '''
 <div>
 <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>
+<p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3"><b>mistralai/Mistral-7B-Instruct-v0.3</b></a>. The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3, which is a Mistral-7B-v0.2 with extended vocabulary. Feel free to play with it, or duplicate to run privately!</p>
+<p>🔎 For more details about the release and how to use the model with <code>transformers</code>, visit the model-card linked above.</p>
+<p>🦕 The Instruct model - Has Extended vocabulary to 32768. Supports v3 Tokenizer. Supports function calling.</p>
 </div>
 '''
 
-LICENSE = """
-<p/>
-
----
-Built with Meta Llama 3
-"""
 
 PLACEHOLDER = """
 <div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
-   <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>
+   <img src="https://cdn-thumbnails.huggingface.co/social-thumbnails/models/mistralai/Mistral-7B-Instruct-v0.3.png" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
+   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Mistral-7B-Instruct-v0.3 is an instruct fine-tuned version of the Mistral-7B-v0.3, which is Mistral-7B-v0.2 with extended vocabulary to 32768.</h1>
    <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything...</p>
 </div>
 """
@@ -49,21 +43,21 @@ h1 {
 """
 
 # Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
-model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct", device_map="auto")  # to("cuda:0") 
+tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
+model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3", device_map="auto")
 terminators = [
     tokenizer.eos_token_id,
     tokenizer.convert_tokens_to_ids("<|eot_id|>")
 ]
 
 @spaces.GPU(duration=120)
-def chat_llama3_8b(message: str, 
+def chat_mistral7b_v0dot3(message: str, 
               history: list, 
               temperature: float, 
               max_new_tokens: int
              ) -> str:
     """
-    Generate a streaming response using the llama3-8b model.
+    Generate a streaming response using the mistralai/Mistral-7B-Instruct-v0.3 model.
     Args:
         message (str): The input message.
         history (list): The conversation history used by ChatInterface.
@@ -111,7 +105,7 @@ with gr.Blocks(fill_height=True, css=css) as demo:
     gr.Markdown(DESCRIPTION)
     gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
     gr.ChatInterface(
-        fn=chat_llama3_8b,
+        fn=chat_mistral7b_v0dot3,
         chatbot=chatbot,
         fill_height=True,
         additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False),
@@ -139,8 +133,6 @@ with gr.Blocks(fill_height=True, css=css) as demo:
         cache_examples=False,
                      )
     
-    gr.Markdown(LICENSE)
-    
+  
 if __name__ == "__main__":
-    demo.launch()
-    
+    demo.launch()