Update app.py

app.py

@@ -1,3 +1,16 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/manohar02/Llama-2-7b-finetune").launch()
+# Load your model
+summarizer = pipeline("summarization", model="your-username/your-model-name")
+
+# Define the summarization function
+def summarize(text):
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Set up the Gradio interface
+iface = gr.Interface(fn=summarize, inputs="text", outputs="text", title="Text Summarizer")
+
+if __name__ == "__main__":
+    iface.launch()