Update app.py

app.py

@@ -1,3 +1,16 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/sentence-transformers/all-distilroberta-v1").launch()
+# Load the model and tokenizer from Hugging Face and create a pipeline
+model_pipeline = pipeline('feature-extraction', model='sentence-transformers/all-distilroberta-v1')
+
+# Define a function that uses the model to make predictions
+def predict(input_text):
+    features = model_pipeline(input_text)
+    return features
+
+# Create a Gradio interface
+interface = gr.Interface(fn=predict, inputs="text", outputs="json")
+
+# Launch the Gradio app
+interface.launch(share=True)