app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load your fine-tuned model
model_name = "SupermanRX/therapistAi"  # Replace with your model's Hugging Face path
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def chatbot(input_text):
    # Generate a response
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=200, pad_token_id=tokenizer.eos_token_id)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

# Use the default chatbot interface
with gr.Blocks() as demo:
    gr.Chatbot().style(height=600).chat(
        chatbot,
        placeholder="Type your message here...",
        show_label=False
    )
demo.launch()