Create main.py

main.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+# Defining the pipeline and the model
+pipe_flan = pipeline("text-generation", model="gpt2")
+
+# Text generation
+def generator(input):
+    output = pipe_flan(input, max_length=50, num_return_sequences=1)
+    return output[0]["generated_text"]
+
+# Creating the Gradio Interface
+demo = gr.Interface(
+    fn=generator,
+    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Generated Text")
+)
+
+# Lauching the Gradio Interface
+demo.launch(server_name="0.0.0.0", server_port=7860)