Create app.py

app.py

@@ -0,0 +1,34 @@
+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "GRMenon/mental-health-mistral-7b-instructv0.2-finetuned-V2"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def get_bot_response(user_input):
+    # Tokenize user input
+    inputs = tokenizer.encode(user_input, return_tensors="pt")
+
+    # Generate response
+    bot_response = model.generate(inputs, max_length=100, num_return_sequences=1)
+
+    # Decode and return response
+    return tokenizer.decode(bot_response[0], skip_special_tokens=True)
+
+def main():
+    st.title("Mental Health Chatbot")
+    
+    st.write("Welcome to the mental health chatbot. You can ask questions or share your thoughts, and I'll try to provide helpful responses.")
+    
+    user_input = st.text_input("Type your message here:", value="", key="user_input")
+    
+    if user_input:
+        st.write(f"You: {user_input}")
+        
+        bot_response = get_bot_response(user_input)
+        
+        st.write(f"Chatbot: {bot_response}")
+
+if __name__ == "__main__":
+    main()