Update app.py

app.py

@@ -1,95 +1,56 @@
 from huggingface_hub import InferenceClient
-
 import gradio as gr
-
 import datetime
 
 # Initialize the InferenceClient
-
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
 def format_prompt(message, history):
-
-prompt = "<s>"
-
-for user_prompt, bot_response in history:
-
-prompt += f"[INST] {user_prompt} [/INST]"
-
-prompt += f" {bot_response}</s> "
-
-prompt += f"[INST] {message} [/INST]"
-
-return prompt
+    prompt = "<s>"
+    for user_prompt, bot_response in history:
+        prompt += f"\[INST\] {user_prompt} \[/INST\]"
+        prompt += f" {bot_response}</s> "
+    prompt += f"\[INST\] {message} \[/INST\]"
+    return prompt
 
 def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=9048, top_p=0.95, repetition_penalty=1.0):
-
-temperature = max(float(temperature), 1e-2)
-
-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,
-
-)
-
-# Get current time
-
-now = datetime.datetime.now()
-
-formatted_time = now.strftime("%H.%M.%S, %B, %Y")
-
-system_prompt = f"server log: This message was sent at {formatted_time}. The actual year is 2024."
-
-formatted_prompt = format_prompt(f"{system_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
+    temperature = max(float(temperature), 1e-2)
+    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,
+    )
+
+    # Get current time
+    now = datetime.datetime.now()
+    formatted_time = now.strftime("%H.%M.%S, %B, %Y")
+    system_prompt = f"server log: ~This message was sent at {formatted_time}. The actual year is 2024.~"
+
+    formatted_prompt = format_prompt(f"{system_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
 
 additional_inputs = [
-
-gr.Textbox(label="System Prompt", max_lines=1, interactive=True),
-
-gr.Slider(label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs"),
-
-gr.Slider(label="Max new tokens", value=9048, minimum=256, maximum=9048, step=64, interactive=True, info="The maximum numbers of new tokens"),
-
-gr.Slider(label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens"),
-
-gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens")
-
+    gr.Textbox(label="System Prompt", max_lines=1, interactive=True),
+    gr.Slider(label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs"),
+    gr.Slider(label="Max new tokens", value=9048, minimum=256, maximum=9048, step=64, interactive=True, info="The maximum numbers of new tokens"),
+    gr.Slider(label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens"),
+    gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens")
 ]
 
-gr.ChatInterface(
-
-fn=generate,
-
-chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
-
-additional_inputs=additional_inputs,
-
-title="ConvoLite",
-
-concurrency_limit=20,
-
-).launch(show_api=False,)
+with gr.themes.Soft():
+    gr.ChatInterface(
+        fn=generate,
+        chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+        additional_inputs=additional_inputs,
+        title="ConvoLite",
+        concurrency_limit=20,
+    ).launch(show_api=False)