Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the agent-builder model
+model_name = "dnnsdunca/agent-builder"
+agent = pipeline("text-generation", model=model_name)
+
+def generate_response(prompt):
+    response = agent(prompt, max_length=200, num_return_sequences=1)
+    return response[0]['generated_text']
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="Agent Builder",
+    description="This app uses the dnnsdunca/agent-builder model to generate responses based on your input prompts.",
+    examples=[
+        ["What is the weather like today?"],
+        ["Write a Python function to reverse a string."]
+    ]
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()