Update app.py

app.py

@@ -51,44 +51,54 @@ def getSummary(article):
     return b
 
 
-with gr.Blocks() as demo:
-    gr.HTML(
-        """
-            <div style="text-align: center; max-width: 500px; margin: 0 auto;">
-              <div>
-                <h1>Dutch whisperer</h1>
-              </div>
-              <p style="margin-bottom: 10px; font-size: 94%">
-                Summarize audio files, mic input or Youtube videos using OpenAI's Whisper
-              </p>
-            </div>
-        """
-    )
-    with gr.Tab('Get a summary from your own mic or audio file'):
-            gr.Interface(
-                fn=transcribe,
-                inputs=[
-                    gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-                    gr.inputs.Audio(source="upload", type="filepath", optional=True),
-                ],
-                outputs="text",
-                layout="horizontal",
-                theme="huggingface",
-                title="Dutch whisper: Summarize Audio",
-                description=(
-                    "Transcribe and summarize."
-                ),
-                allow_flagging="never",
-            )
-    with gr.Tab('Summary of Youtube video'):
-            input_text_url = gr.Textbox(placeholder='Youtube video URL', label='URL')
-            result_button_transcribe = gr.Button('1. Transcribe')
-            output_text_transcribe = gr.Textbox(placeholder='Transcript of the YouTube video.', label='Transcript')
-
-            result_button_summary = gr.Button('2. Create Summary')
-            output_text_summary = gr.Textbox(placeholder='Summary of the YouTube video transcript.', label='Summary')
-
-            result_button_transcribe.click(getText, inputs=input_text_url, outputs=output_text_transcribe)
-            result_button_summary.click(getSummary, inputs=output_text_transcribe, outputs=output_text_summary)
+
+gr.HTML(
+    """
+        <div style="text-align: center; max-width: 500px; margin: 0 auto;">
+          <div>
+            <h1>Dutch whisperer</h1>
+          </div>
+          <p style="margin-bottom: 10px; font-size: 94%">
+            Summarize audio files, mic input or Youtube videos using OpenAI's Whisper
+          </p>
+        </div>
+    """
+)
+with gr.Tab('Get a summary from your own mic or audio file'):
+        input_text_url = gr.Textbox(placeholder='Youtube video URL', label='URL')
+        result_button_transcribe = gr.Button('1. Transcribe')
+        output_text_transcribe = gr.Textbox(placeholder='Transcript of the YouTube video.', label='Transcript')
+
+        result_button_summary = gr.Button('2. Create Summary')
+        output_text_summary = gr.Textbox(placeholder='Summary of the YouTube video transcript.', label='Summary')
+
+        result_button_transcribe.click(getText, inputs=input_text_url, outputs=output_text_transcribe)
+        result_button_summary.click(getSummary, inputs=output_text_transcribe, outputs=output_text_summary)
+    
+        gr.Interface(
+            fn=transcribe,
+            inputs=[
+                gr.inputs.Audio(source="microphone", type="filepath", optional=True),
+                gr.inputs.Audio(source="upload", type="filepath", optional=True),
+            ],
+            outputs="text",
+            layout="horizontal",
+            theme="huggingface",
+            title="Dutch whisper: Summarize Audio",
+            description=(
+                "Transcribe and summarize."
+            ),
+            allow_flagging="never",
+        )
+with gr.Tab('Summary of Youtube video'):
+        input_text_url = gr.Textbox(placeholder='Youtube video URL', label='URL')
+        result_button_transcribe = gr.Button('1. Transcribe')
+        output_text_transcribe = gr.Textbox(placeholder='Transcript of the YouTube video.', label='Transcript')
+
+        result_button_summary = gr.Button('2. Create Summary')
+        output_text_summary = gr.Textbox(placeholder='Summary of the YouTube video transcript.', label='Summary')
+
+        result_button_transcribe.click(getText, inputs=input_text_url, outputs=output_text_transcribe)
+        result_button_summary.click(getSummary, inputs=output_text_transcribe, outputs=output_text_summary)
 
 demo.launch(debug=True)