Create app.py

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("arabic-text-stanceEvalV1")
+model = AutoModelForCausalLM.from_pretrained("arabic-text-stanceEvalV1")
+
+def generate_text(prompt, max_length=50):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs['input_ids'], max_length=max_length, num_return_sequences=1)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+st.title("SatnceEval LLM testing with Hugging Face and Streamlit")
+
+prompt = st.text_input("Enter your prompt:", "Once upon a time")
+
+if st.button("Generate"):
+    with st.spinner("Generating..."):
+        generated_text = generate_text(prompt)
+        st.success("Generated Text:")
+        st.write(generated_text)