emotion-llm / app.py
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import gradio as gr
from transformers import pipeline
# Load the DeepSeek model
pipe = pipeline("text-generation", model="deepseek-ai/deepseek-llm-7b", trust_remote_code=True)
# pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True)
# Function to interact with the chatbot
def chat_with_bot(message, chat_history):
messages = [{"role": "user", "content": message}]
response = pipe(messages, max_length=512)
return response[0]["generated_text"]
# Create Gradio UI
interface = gr.ChatInterface(fn=chat_with_bot, title="DeepSeek AI Chatbot")
# Launch the chatbot
interface.launch()