Update app.py

app.py

@@ -20,28 +20,115 @@ def speech_record(x):
     text = model.transcribe(x)
     return text['text']
 
-css = ".gradio-container {background-color: blue}"
+css = """
+        .gradio-container {
+            font-family: 'IBM Plex Sans', sans-serif;
+        }
+        .gr-button {
+            color: white;
+            border-color: black;
+            background: black;
+        }
+        input[type='range'] {
+            accent-color: black;
+        }
+        .dark input[type='range'] {
+            accent-color: #dfdfdf;
+        }
+        .container {
+            max-width: 730px;
+            margin: auto;
+            padding-top: 1.5rem;
+        }
+     
+        .details:hover {
+            text-decoration: underline;
+        }
+        .gr-button {
+            white-space: nowrap;
+        }
+        .gr-button:focus {
+            border-color: rgb(147 197 253 / var(--tw-border-opacity));
+            outline: none;
+            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
+            --tw-border-opacity: 1;
+            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
+            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
+            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
+            --tw-ring-opacity: .5;
+        }
+        .footer {
+            margin-bottom: 45px;
+            margin-top: 35px;
+            text-align: center;
+            border-bottom: 1px solid #e5e5e5;
+        }
+        .footer>p {
+            font-size: .8rem;
+            display: inline-block;
+            padding: 0 10px;
+            transform: translateY(10px);
+            background: white;
+        }
+        .dark .footer {
+            border-color: #303030;
+        }
+        .dark .footer>p {
+            background: #0b0f19;
+        }
+        .prompt h4{
+            margin: 1.25em 0 .25em 0;
+            font-weight: bold;
+            font-size: 115%;
+        }
+        .animate-spin {
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin {
+            from {
+                transform: rotate(0deg);
+            }
+            to {
+                transform: rotate(360deg);
+            }
+        }
+        #share-btn-container {
+            display: flex; margin-top: 1.5rem !important; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
+        }
+        #share-btn {
+            all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;
+        }
+        #share-btn * {
+            all: unset;
+        }
+"""
 
 with gr.Blocks(css = css) as demo:
     gr.Markdown(
     """
     # Speech to Text Transcriptions!
-    Start typing below to see the output.
+    This demo uses OpenAI whisper model which is trained on a large dataset of diverse audio that can perform multilingual speech recognition.
     """)
     with gr.Tab("YouTube"):
         audio_input = gr.Textbox(label="YouTube Link", placeholder="paste the youtube link here")
-        text_output = gr.Textbox(label="Transcription")
+        text_output = gr.Textbox(label="Transcription", show_label=False)
         youtube_button = gr.Button("Transcribe")
     with gr.Tab("Audio File"):
-        with gr.Row():
+        with gr.Row().style(equal_height=True):
             audio_input2 = gr.Audio(label="Audio File", type="filepath")
-            text_output2 = gr.Textbox(label="Transcription")
+            text_output2 = gr.Textbox(label="Transcription", show_label=False)
         file_button = gr.Button("Transcribe")
     with gr.Tab("Record"):
-        with gr.Row():
+        with gr.Row().style(equal_height=True):
             audio_input3 = gr.Audio(label="Input Audio", source="microphone", type="filepath")
-            text_output3 = gr.Textbox(label="Transcription")
+            text_output3 = gr.Textbox(label="Transcription", show_label=False)
         rec_button = gr.Button("Transcribe")
+    gr.HTML('''
+        <div class="footer">
+                    <p>Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> - Gradio Demo by 👩🏽‍🦱 <a href="https://www.linkedin.com/in/oayodeji/" style="text-decoration: underline;" target="_blank">Wvle</a>
+                    </p>
+        </div>
+        ''')
 
     youtube_button.click(speech_youtube, inputs=audio_input, outputs=text_output)
     file_button.click(speech_file, inputs=audio_input2, outputs=text_output2)