Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your Hugging Face model
+generator = pipeline('text-generation', model='Jonathanmann/GPT2-medium-SADnov21')
+
+# Define a function for generating text
+def generate_text(prompt, max_length, temperature, top_k, top_p):
+    response = generator(
+        prompt, 
+        max_length=max_length,
+        temperature=temperature,
+        top_k=top_k,
+        top_p=top_p,
+        num_return_sequences=1
+    )
+    return response[0]['generated_text']
+
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(lines=2, placeholder="Enter your prompt here..."),
+        gr.Slider(minimum=20, maximum=200, default=50, label="Max Length"),
+        gr.Slider(minimum=0.1, maximum=1.0, default=0.7, label="Temperature"),
+        gr.Slider(minimum=1, maximum=100, default=50, label="Top-k"),
+        gr.Slider(minimum=0.1, maximum=1.0, default=0.9, label="Top-p")
+    ],
+    outputs="text",
+    title="GPT-2 Text Generation",
+    description="A demo of Jonathanmann/GPT2-medium-SADnov21 with adjustable generation parameters."
+)
+
+# Launch the app
+demo.launch()