Create app.py

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+def format_prompt(message, history):
+    system_prompt = ("I’m an AI chatbot named ChatSherman designed by a super-intelligent student named ShermanAI at the Department of Electronic and Information Engineering at The Hong Kong Polytechnic University to help you with your engineering questions. Also, I can assist with a wide range of topics and questions.")
+    prompt = f"<s>{system_prompt}"
+    for user_prompt, bot_response in history:
+        prompt += f"[USER] {user_prompt} [/USER]"
+        prompt += f"{bot_response}</s> "
+    prompt += f"[USER] {message} [/USER]</s>"
+    return prompt
+    
+def generate(prompt, history, temperature=0.6, max_new_tokens=256, top_p=0.95, repetition_penalty=1.2):
+    temperature = float(temperature)
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = format_prompt(prompt, history)
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+    for response in stream:
+        output += response.token.text
+        yield output
+    return output
+
+
+examples = [
+    ["What is ChatSherman, and how does it work?", []],
+    ["Is my personal information and data safe when I use the ChatSherman chatbot?", []],
+    ["What are some common applications of deep learning in engineering?", []]
+]
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+    title="ChatSherman",
+    description = "This is an AI chatbot powered by ShermanAI. Enter your question below to get started. ",
+    examples=examples,
+    concurrency_limit=20,
+).launch(show_api=False)