Try loading moondream2

app.py

@@ -1,15 +1,32 @@
 import gradio as gr
+from transformers import pipeline
 
+# from transformers import AutoModelForCausalLM, AutoTokenizer
 
-def greet(name):
-    return f"Hello, {name}!"
+# from PIL import Image
 
 
-demo = gr.Interface(
-    fn=greet,
-    inputs=["text"],
-    outputs=["text"]
-)
+moondream_id = "vikhyatk/moondream2"
+moondream_revision = "2024-04-02"
+# moondream_model = AutoModelForCausalLM.from_pretrained(
+#     moondream_id, trust_remote_code=True, code_revision=moondream_revision
+# )
+# tokenizer = AutoTokenizer.from_pretrained(moondream_id, code_revision=moondream_revision)
+pipe = pipeline(model=moondream_id, revision=moondream_revision, trust_remote_code=True)
+
+with gr.Blocks() as app:
+    gr.Markdown(
+        """
+        # Food Identifier
+        
+        Final project for IAT 481 at Simon Fraser University, Spring 2024.
+        """
+    )
+    with gr.Row():
+        prompt = gr.Textbox(label="Input", value="Describe this image.")
+        submit = gr.Button(label="Submit")
+    with gr.Row():
+        img = gr.Image(type="pil")
 
 if __name__ == "__main__":
-    demo.launch()
+    app.launch()