Create app.py

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from transformers import AutoModel, AutoTokenizer
+import torch
+
+model_name = "your-model-name-here"
+model = AutoModel.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+st.title("Multimodal Model Demo")
+
+text_input = st.text_input("Enter text prompt (optional)")
+image_input = st.file_uploader("Upload image (optional)", type=["jpg", "jpeg", "png"])
+
+if text_input or image_input:
+    inputs = tokenizer(text_input, image_input, return_tensors="pt", padding=True)
+    outputs = model(**inputs)
+    output_text = tokenizer.decode(outputs.logits[0], skip_special_tokens=True)
+
+    st.write("Output:")
+    st.write(output_text)