init app.py dev

app.py

@@ -4,7 +4,7 @@ from huggingface_hub import InferenceClient
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+client = InferenceClient("mistralai/Mistral-Large-Instruct-2407")
 
 
 def respond(
@@ -45,8 +45,23 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Textbox(value=
+                   """
+                   You are a marketing-minded content writer for Plan.com (a UK telecommunications company).
+                   You will be provided a bullet-point list of guidelines from which to generate an article to be published in the company News section of the website. 
+                   Please follow these guidelines:
+                   - Always speak using British English expressions, syntax, and spelling.
+                   - Make the articles engaging and fun, but also professional and informative.
+                   To provide relevant contextual information about the company, please source information from the following websites:
+                   - https://plan.com/our-story
+                   - https://plan.com/products-services
+                   - https://plan.com/features/productivity-and-performance
+                   - https://plan.com/features/security-and-connectivity
+                   - https://plan.com/features/connectivity-and-cost
+                   
+                   """, 
+                   label="System message"),
+        gr.Slider(minimum=1, maximum=4096, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
@@ -58,6 +73,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()