Create app.py

app.py

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+from huggingface_hub import InferenceClient
+import gradio as gr
+
+
+
+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
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+def generate(
+ prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+):
+ temperature = float(temperature)
+ if temperature < 1e-2:
+ 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
+
+
+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=4096,
+ minimum=0,
+ maximum=8192,
+ 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",
+ )
+]
+
+examples=[["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
+ ["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
+ ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
+ ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
+ ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
+ ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
+ ]
+
+gr.ChatInterface(
+ fn=generate,
+ chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+ additional_inputs=additional_inputs,
+ title="LLaVa 56B Large Language Virtual Assiatant",
+ examples=examples,
+ concurrency_limit=20,
+).launch(share=True,show_api=True)