Upload app.py

app.py

@@ -87,12 +87,75 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 #     ],
 # )
 
-demo = gr.Interface(fn=respond,
-                    inputs=[gr.Textbox(label="Input Text", placeholder="Input Text To Be Translated")],
-                    outputs=gr.Textbox(label="Translation"),
-                    title="tTranslatorR-Opus"
-                    )
-
+# Function to process translation
+def respond_google_translate(
+    source_text,
+    system_message,
+    max_tokens,
+    temperature,
+    top_p
+):
+    # Call the respond function and collect the final response
+    result = ""
+    for token in respond(
+        message=source_text,
+        history=[],
+        system_message=system_message,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        result += token  # Accumulate the tokens
+    return result
+
+# Define the interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Google Translate-like Interface")
+
+    with gr.Row():
+        with gr.Column():
+            source_textbox = gr.Textbox(
+                placeholder="Enter text in English...",
+                label="Source Text (English)",
+                lines=5,
+            )
+        with gr.Column():
+            translated_textbox = gr.Textbox(
+                placeholder="Translation will appear here...",
+                label="Translated Text (French)",
+                lines=5,
+                interactive=False,
+            )
+
+    translate_button = gr.Button("Translate")
+
+    with gr.Accordion("Advanced Settings", open=False):
+        system_message_input = gr.Textbox(
+            value="You are a friendly Chatbot.",
+            label="System message",
+        )
+        max_tokens_slider = gr.Slider(
+            minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"
+        )
+        temperature_slider = gr.Slider(
+            minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"
+        )
+        top_p_slider = gr.Slider(
+            minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"
+        )
+
+    # Define functionality
+    translate_button.click(
+        respond_google_translate,
+        inputs=[
+            source_textbox,
+            system_message_input,
+            max_tokens_slider,
+            temperature_slider,
+            top_p_slider,
+        ],
+        outputs=translated_textbox,
+    )
 
 if __name__ == "__main__":
     demo.launch()