app

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load your Hugging Face model
+model = pipeline('text-generation', model='gpt2')  # Replace 'gpt2' with your model
+
+def predict(input_text):
+    # Generate output using the model
+    output = model(input_text, max_length=50)  # Adjust parameters as needed
+    return output[0]['generated_text']
+
+# Create the Gradio interface
+interface = gr.Interface(fn=predict,
+                         inputs=gr.inputs.Textbox(lines=2, placeholder="Type something here..."),
+                         outputs='text',
+                         title="Hugging Face Model Inference",
+                         description="Type in some text and see how the model responds!")
+
+if __name__ == "__main__":
+    interface.launch()