Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load a code-generation model (you can replace this with a better one if needed)
+code_generator = pipeline("text2text-generation", model="bigcode/t5-code-generation")
+
+def generate_code(description):
+    response = code_generator(description, max_length=200)[0]['generated_text']
+    return response
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=5, placeholder="Enter your task description here..."),
+    outputs=gr.Code(),
+    title="Text-to-Code Generator",
+    description="Convert natural language coding tasks into Python code!"
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()