Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+import spaces
+
+from t2v_metrics import VQAScore, list_all_vqascore_models
+
+print(list_all_vqascore_models())
+
+# Initialize the model only once
+model_pipe = None
+
+def initialize_model(model_name):
+    print("Initializing model...")
+    global model_pipe
+    if model_pipe is None:
+        model_pipe = VQAScore(model=model_name)  # our recommended scoring model
+    print("Model initialized!")
+    return model_pipe
+
+@spaces.GPU
+def generate(model_name, image, text):
+    pipe = initialize_model(model_name)
+    return pipe(image, text)
+
+iface = gr.Interface(
+    fn=generate,  # function to call
+    inputs=[gr.Dropdown(["clip-flant5-xl", "clip-flant5-xxl"], label="Model Name"), gr.Image(type="pil"), gr.Textbox(label="Prompt")],  # define the types of inputs
+    outputs="number",  # define the type of output
+    title="VQAScore",  # title of the app
+    description="This model evaluates the similarity between an image and a text prompt."
+).launch()