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import streamlit as st
import torch
from transformers import pipeline
def main():
# Set up the page
st.set_page_config(page_title="Nudge Generator Demo - tinyllama 1b", page_icon="orYx logo.png")
# Title and logo
col1, col2 = st.columns([3, 1])
with col1:
st.title("Pirate Chatbot")
with col2:
st.image("orYx logo.png", use_column_width=True)
# Chat interface
st.markdown("---")
st.header("Chat Interface")
# Input for user-provided message
user_message = st.text_area("Enter your message:")
if st.button("Generate Response"):
if user_message.strip():
with st.spinner("Generating response..."):
# Load the pipeline
pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
# Define the message structure
messages = [
{
"role": "system",
"content": "You are a personal corporate trainer that teaches me how to perform well in my organization.",
},
{"role": "user", "content": user_message},
]
# Generate the prompt
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
# Generate the response
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
# Display the response
st.text_area("Chatbot Response:", outputs[0]["generated_text"], height=200)
else:
st.warning("Please enter a message to get a response.")
if __name__ == "__main__":
main()
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