Create app.py

app.py

@@ -0,0 +1,27 @@
+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def main():
+    st.title("Chatbot with Hugging Face Model")
+
+    model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+
+    user_input = st.text_input("User Input:", "What is your favourite condiment?")
+
+    if st.button("Generate Response"):
+        messages = [
+            {"role": "user", "content": user_input},
+            {"role": "assistant", "content": "Placeholder assistant message"}  # You can modify this as needed
+        ]
+
+        inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda")
+
+        outputs = model.generate(inputs, max_new_tokens=20)
+        response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+        st.text_area("Assistant's Response:", response)
+
+if __name__ == "__main__":
+    main()