Update app.py

app.py

@@ -1,3 +1,29 @@
 import gradio as gr
 
-gr.load("models/RescueSight/Disaster-Request-DISTIL").launch()
+# Load the RescueSight Disaster-Request model
+model = gr.load("models/RescueSight/Disaster-Request-DISTIL")
+
+# Define some example tweets for testing
+examples = [
+    "I'm trapped under rubble after the earthquake, please help!",
+    "Floodwaters are rising fast in my house, we need immediate rescue!",
+    "Stuck on the roof with my family, no way out. Send help ASAP!",
+    "Can't breathe well, trapped in the basement after the tornado hit. Help!",
+    "My car is submerged, can't get out. Need help urgently!",
+    "Building collapse, I'm stuck on the third floor. Please send help!",
+    "Fire has blocked all exits, we're trapped on the top floor. Help needed!",
+    "We're surrounded by floodwaters, stuck on the second floor with no food. Need rescue!",
+    "Gas leak in our building after the earthquake, trapped inside. Urgent help required!",
+    "My family and I are stuck in the attic with no way down. Please rescue us!"
+]
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=model.predict,  # Function to be called for prediction
+    inputs=gr.Textbox(label="Input Tweet"),  # Input text box for the tweet
+    outputs=gr.Label(label="Prediction"),  # Output label for the prediction
+    examples=examples  # Adding the example tweets
+)
+
+# Launch the Gradio app
+interface.launch()