Spaces:
Sleeping
Sleeping
File size: 4,291 Bytes
e675232 26c3bae e675232 26c3bae e675232 4fd8a39 f9580ed 26c3bae f9580ed 4fd8a39 f9580ed 4fd8a39 26c3bae 4fd8a39 f9580ed 26c3bae e675232 26c3bae e675232 d4c7697 e675232 d4c7697 e675232 26c3bae e675232 26c3bae e675232 26c3bae e675232 6da0a2d e675232 9a577c1 e675232 d4c7697 26c3bae |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 |
import gradio as gr
from huggingface_hub import InferenceClient
# Initialize the client with your desired model
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
# # Define the system prompt as an AI Dermatologist
# def format_prompt(message, history):
# prompt = "<s>"
# # Start the conversation with a system message
# prompt += "[INST] You are a Travel Companion Chatbot that helps users plan trips by suggesting transport, sightseeing stops, and accommodations based on their preferences. [/INST]"
# 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 format_prompt(message, history):
# prompt = "<s>"
# # Start the conversation with a system message
# prompt += "[INST] You are a Travel Companion Chatbot that helps users plan trips by suggesting transport, sightseeing stops, and accommodations based on their preferences. Please assist the user by asking what they need to know. [/INST]"
# # Only append the user message, without the historical responses or examples
# prompt += f"[INST] {message} [/INST]"
# return prompt
def format_prompt(message):
prompt = "<s>"
# System message to set the context of the AI's purpose
prompt += "[INST] You are a Travel Companion chatbot designed to assist users in planning their trips. When a user provides the source, destination, and the number of days they are planning for a trip, you should respond by:\n"
prompt += "- Suggesting the best travel options (bus, train, flight, etc.) with cost-effective choices.\n"
prompt += "- Recommending cost-effective hotels and restaurants along the route.\n"
prompt += "- Highlighting the best places to visit on the route.\n"
prompt += "Please respond directly to the user's input with a detailed plan, without repeating their message. [/INST]"
# Include the user's message as the input to be processed
prompt += f"{message}"
return prompt
# Function to generate responses with the AI Dermatologist context
def generate(
prompt, history, 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(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
# Customizable input controls for the chatbot interface
additional_inputs = [
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=256,
minimum=0,
maximum=1048,
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",
)
]
# Define the chatbot interface with the starting system message as AI Dermatologist
gr.ChatInterface(
fn=generate,
chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, layout="panel"),
additional_inputs=additional_inputs,
title="Travel Companion Chatbot"
).launch(show_api=False)
# Load your model after launching the interface
gr.load("models/Bhaskar2611/Capstone").launch()
|