app.py

import gradio as gr
from transformers import pipeline

# Load pre-trained models
emotion_model = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")
severity_model = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion")
dialog_model = pipeline("text-generation", model="microsoft/DialoGPT-medium")

def chatbot(user_input):
    emotion = emotion_model(user_input)[0]['label']
    severity = severity_model(user_input)[0]['label']
    reply = dialog_model(user_input, max_length=50, num_return_sequences=1)[0]['generated_text']
    return f"Emotion: {emotion}\nSeverity: {severity}\nBot Reply: {reply}"

iface = gr.Interface(
    fn=chatbot,
    inputs="text",
    outputs="text",
    title="Mental Health Bot",
    description="Detects emotion & severity, then replies with supportive text."
)

iface.launch()