from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import gradio as gr

model_id = "TheBloke/MelloGPT-AWQ"  # or replace with another MelloGPT variant

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

# Create a text generation pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

# Define chatbot logic
def chatbot(prompt):
    response = generator(prompt, max_new_tokens=150, temperature=0.7)
    return response[0]["generated_text"]

# Gradio interface
demo = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="🧠 MelloGPT Mental Health Bot")

demo.launch()