Create app.py

app.py

@@ -0,0 +1,30 @@
+
+import gradio as gr
+from transformers import pipeline
+
+# Model logic (conceptual)
+translator = pipeline("text2text-generation", model="t5-small")
+
+
+def translate(Prompt):
+
+    prompt = "translate English to French: How are you?"
+    prompt=prompt +" "+Prompt
+    result = translator(prompt, max_length=50, num_return_sequences=1 , temperature=0.7)
+
+    # Print the generated text
+    print(result[0]['generated_text'])
+    return result[0]['generated_text']
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            english = gr.Textbox(label="English text")
+        with gr.Column():
+            german = gr.Textbox(label="German text")
+
+    translate_btn = gr.Button("Translate")
+    translate_btn.click(fn=translate, inputs=english, outputs=german)
+
+    # Adding examples at the bottom
+    gr.Examples(["Hello, how are you?", "I am learning Gradio."], inputs=english)