Add application file

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+from fastapi import FastAPI
+
+# Initialize the summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define the summarization function
+def summarize_text(input_text):
+    summary = summarizer(input_text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio app
+app = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(lines=10, label="Input Text"),
+    outputs=gr.Textbox(label="Summarized Text"),
+    title="Text Summarization",
+    description="Enter a block of text to summarize it using the BART model fine-tuned on CNN/Daily Mail."
+)
+
+# Mount the Gradio app on FastAPI
+fastapi_app = FastAPI()
+fastapi_app.mount("/", app)
+
+if __name__ == "__main__":
+    app.launch()