chatbot.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

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

def chatbot(input_text):
    # Process user input and generate 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

# Create a Gradio interface
interface = gr.Interface(
    fn=chatbot,
    inputs="text",
    outputs="text",
    title="Chat with Your Model"
)

# Launch the Gradio app
interface.launch()