Deploy app with pre-trained models

app.py

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+
+import gradio as gr
+from transformers import pipeline
+
+# Pre-trained models from Hugging Face Hub
+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()

requirements.txt

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+transformers
+gradio
+datasets
+huggingface_hub