Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Define the function that will process the text
+def generate_text(prompt1, prompt2):
+    # Define the GPT-2 model and the processing pipeline
+    model = "EleutherAI/gpt-neo-125M"
+    summarization = pipeline("text-generation", model=model)
+    # Concatenate the two prompts
+    prompt = "Explain " + prompt1 + " to a " + prompt + " grader below."
+    # Generate the text
+    result = summarization(prompt, max_length=32)
+    return result[0]["generated_text"]
+
+# Create the input interface
+inputs = [gr.inputs.Textbox(lines=5, label="Prompt 1:"), gr.inputs.Textbox(lines=5, label="Prompt 2:")]
+
+# Create the output interface
+outputs = gr.outputs.Textbox(label="Generated Text")
+
+# Create the app
+app = gr.Interface(generate_text, inputs, outputs, title="GPT-2 Text Generation Demo")
+
+# Run the app
+app.launch()