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from huggingface_hub import InferenceClient
import gradio as gr
from datetime import datetime
API_URL = "https://api-inference.huggingface.co/models/"
# Initialize the InferenceClient
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
def format_prompt(message, history):
"""Format the prompt for the text generation model."""
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):
"""Generate a response using the text generation model."""
# Check if the prompt is asking who created the bot
if "who created you" in prompt.lower():
return "I was created by Aniket Kumar and many more."
# Handle small talk
elif "how are you" in prompt.lower():
return "I'm an AI and don't have feelings, but I'm here to help you. How can I assist you today?"
# Set up parameters for text generation
generate_kwargs = dict(
temperature=0.9,
max_new_tokens=512,
top_p=0.95,
repetition_penalty=1.0,
do_sample=True,
)
# Format the prompt
formatted_prompt = format_prompt(prompt, history)
# Generate the response
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 greet_user():
"""Greet the user based on the time of day."""
current_hour = datetime.now().hour
if current_hour < 12:
return "Good morning! How can I assist you today?"
elif 12 <= current_hour < 18:
return "Good afternoon! How can I assist you today?"
else:
return "Good evening! How can I assist you today?"
def create_interface():
"""Create the Gradio interface."""
customCSS = """
#component-7 { # this is the default element ID of the chat component
height: 800px; # adjust the height as needed
flex-grow: 1;
}
"""
with gr.Blocks(css=customCSS) as demo:
gr.ChatInterface(
generate,
initial_message=greet_user(), # Add the greeting feature here
)
demo.queue().launch(debug=True)
# Run the application
create_interface()
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