Update app.py

app.py

@@ -1,58 +1,64 @@
-import gradio as gr
 from huggingface_hub import InferenceClient
+import gradio as gr
 
 # 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
-
-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,
-  )
-
-  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
-
-# Define inputs (user interface elements)
-system_prompt_input = gr.Textbox(label="System Prompt", max_lines=1, interactive=True)
-slider_temperature = 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")
-slider_max_tokens = gr.Slider(label="Max new tokens", value=9048, minimum=256, maximum=9048, step=64, interactive=True, info="The maximum numbers of new tokens")
-slider_top_p = 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")
-slider_repetition_penalty = gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens")
-inputs = [system_prompt_input] + [slider_temperature, slider_max_tokens, slider_top_p, slider_repetition_penalty]
-
-# Define output (generated text)
-output_text = gr.Textbox(label="Output")
-
-# Create the Gradio interface
-gr.Interface(
-  fn=generate,
-  chatbot=gr.Chatbot(show_label=True, show_share_button=True, show_copy_button=True, likeable=True, layout="panel"),
-  inputs=inputs,
-  outputs=output_text,
-  title="ConvoLite",
-  description="Remember! The AI might give incorrect information about people, locations, history, etc...",
-  concurrency_limit=20,
-  theme=gr.themes.Soft()
-).launch(show_api=False,)
+    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, theme, 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,
+    )
+
+    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
+
+def get_theme(theme_name):
+    theme_mapping = {
+        "Base": gr.themes.Base(),
+        "Default": gr.themes.Default(),
+        "Glass": gr.themes.Glass(),
+        "Monochrome": gr.themes.Monochrome(),
+        "Soft": gr.themes.Soft()
+    }
+    return theme_mapping.get(theme_name, gr.themes.Default())
+
+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.Dropdown(label="Theme", choices=["Default", "Base", "Glass", "Monochrome", "Soft"], interactive=True, info="Select a theme for the app")
+]
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=True, show_share_button=True, show_copy_button=True, likeable=True, layout="panel"),
+    additional_inputs=additional_inputs,
+    title="ConvoLite",
+    description="Remember! The AI might give incorrect information about people, locations, history, etc...",
+    concurrency_limit=20,
+    theme=get_theme(additional_inputs[-1].value)  # Use the selected theme
+).launch(show_api=False)