Create app.py

app.py

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+# Load model directly
+import streamlit as st
+import transformers
+
+st.title("A Simple Interface for a Language Model")
+
+st.subheader("Input Text")
+input_text = st.text_area("Enter your text here", "Type something here...")
+
+if st.button("Generate Response"):
+    # Initialize tokenizer and model
+    tokenizer = transformers.AutoTokenizer.from_pretrained("microsoft/phi-2")
+    model = transformers.AutoModelForCausalLM.from_pretrained("microsoft/phi-2")
+
+    # Encode input text
+    inputs = tokenizer(input_text, return_tensors="pt")
+
+    # Generate response
+    response = model.generate(**inputs, max_length=100, do_sample=True)
+
+    # Decode response
+    st.subheader("Generated Response")
+    st.write(tokenizer.decode(response[0]))