Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load pre-trained model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("distil-gpt2")
+tokenizer = AutoTokenizer.from_pretrained("distil-gpt2")
+
+def chatbot(input_message):
+    input_ids = tokenizer.encode(input_message, return_tensors="pt")
+    outputs = model.generate(input_ids=input_ids, max_length=50, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+def main():
+    st.title("Mental Health Chatbot")
+    input_message = st.text_input("You:")
+    if st.button("Send"):
+        response = chatbot(input_message)
+        st.text_area("Chatbot:", value=response, height=100)
+
+if __name__ == "__main__":
+    main()