Update app.py

app.py

@@ -1,3 +1,28 @@
 import gradio as gr
 
-gr.load("models/sengeolab/geocoder").launch()
+#gr.load("models/sengeolab/geocoder").launch()
+#import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+# Load the model and tokenizer
+model_name = "sengeolab/geocoder"  # This should be the correct model identifier
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+# Define your Gradio interface
+inputs = gr.Textbox(lines=3, label="Input Address")
+outputs = gr.Label(label="Geocoded Location")
+
+def geocode_address(address):
+    # Tokenize the input text
+    inputs = tokenizer(address, return_tensors="pt", padding=True, truncation=True)
+
+    # Perform inference
+    outputs = model(**inputs)
+    # Add your inference logic here
+    # For example, you can process the outputs and return the geocoded location
+
+    return "Geocoded Location"  # Replace this with your actual output
+
+# Launch the Gradio interface
+gr.Interface(fn=geocode_address, inputs=inputs, outputs=outputs).launch()