Create app.py

app.py

@@ -0,0 +1,23 @@
+from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+import gradio as gr
+
+model_path = '.'  # Assuming the model files are in the current directory
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
+summarizer = pipeline('summarization', model=model, tokenizer=tokenizer)
+
+def summarize_text(text):
+    result = summarizer(text, max_length=150, min_length=30, do_sample=False)
+    return result[0]['summary_text']
+
+gr_interface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter text to summarize here..."),
+    outputs="text",
+    title="Text Summarization with Fine-Tuned Model",
+    description="Enter text to generate a summary using the fine-tuned summarization model."
+)
+
+if __name__ == "__main__":
+    gr_interface.launch()