Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Create a text generation pipeline using Hugging Face Transformers
+generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
+
+# Define the chat function
+def chat(input_text):
+    response = generator(input_text, max_length=50, do_sample=True)[0]["generated_text"]
+    return response
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=chat,
+    inputs=gr.inputs.Textbox(label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Response"),
+    live=True,
+)
+
+# Launch the Gradio interface
+iface.launch()