app.py

import gradio as gr
import transformers
import torch

# Function to load model and process inputs
def chatbot(input_text):
    # Load a pre-trained mental health model (e.g., the one you selected: 'mental_health_chatbot')
    model_name = "thrishala/mental_health_chatbot"  # Update with your selected model
    model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
    tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)

    # Process input and generate response
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    
    return response

# Define the Gradio interface
interface = gr.Interface(fn=chatbot, inputs="text", outputs="text")

# Launch the Gradio app
interface.launch()