Add application file

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the Hugging Face model
+# Replace 'your-username/your-model-name' with the actual path to your Hugging Face model
+model_path = "patrixtano/mt5-small-anaphora_czech_6e"
+model_pipeline = pipeline("text2text-generation", model=model_path)
+
+def predict(text_input):
+    """
+    Generate a prediction for the given input text using the Hugging Face model.
+    """
+    try:
+        result = model_pipeline(text_input)
+        # Extract and return the generated text
+        return result[0]["generated_text"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=5, label="Input Text"),
+    outputs=gr.Textbox(label="Model Output"),
+    title="Hugging Face Model Demo",
+    description="Enter text into the input box, and the model will generate an output based on your input.",
+    theme="default"
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    interface.launch()