Update app.py

app.py

@@ -99,8 +99,48 @@ def abstractiveSummaryWithPegasus(words):
     print(actual_summ)
 
 
+
+# Main logic of the program
+def process(uri, mode):
+    return ["full text","resumed text"] ;
+
+
 import gradio as gr
-def process(context, question):
-    pass  # Implement your question-answering model here...
+from gradio.mix import Series
+
+with gr.Blocks() as ui:
+    gr.Markdown("""
+    ## Permet de faire le résumé d'une video youtube ou d'un article de blog
+    """)
+    with gr.Row():
+        with gr.Column():
+            URI = gr.Textbox(
+                label="URI à résumer",
+                max_lines=1,
+                placeholder="https://youtube|website.ext",
+            )
+            TRANSCRIPT = gr.Textbox(
+                label="URI à résumer",
+                lines=10,
+                interactive=False,
+                placeholder="https://youtube|website.ext",
+            )
+            RESUME = gr.Textbox(
+                label="URI à résumer",
+                lines=10,
+                interactive=False,
+                placeholder="https://youtube|website.ext",
+            )
+            
+        MODE = gr.Radio(choices=["First Choice", "Second Choice", "Third Choice"])
+        run_button.click(
+            fn=process,
+            label=""
+            inputs=[URI, MODE],
+            outputs=[TRANSCRIPT, RESUME]
+        )
+    
+#translator_fr = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-fr-en")
+#summarizer = gr.Interface.load("huggingface/sshleifer/distilbart-cnn-12-6")
 
-gr.Interface(fn=process, inputs=["text", "text"], outputs=["textbox", "text"]).launch()
+ui.launch()