Update app.py

app.py

@@ -201,27 +201,37 @@ def one_shot(image,input_text,gender):
 
 def generate_ocr(method,image):
     return "Hello"
-"""
-Create user interface for OCR demo
-"""
-
-image = gr.Image(shape=(300, 300))
-method = gr.Radio(["PaddleOCR","EasyOCR", "KerasOCR"],value="PaddleOCR")
-output = gr.Textbox(label="Output")
-
-demo = gr.Interface(
-    generate_ocr,
-    [method,image],
-    output,
-    title="Optical Character Recognition",
-    css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}",
-    article = """<p style='text-align: center;'>Feel free to give us your thoughts on this demo and please contact us at 
-                    <a href="mailto:[email protected]" target="_blank">[email protected]</a> 
-                    <p style='text-align: center;'>Developed by: <a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>"""
     
-
-)
-demo.launch(enable_queue = False)
+def run():
+  with block:
+    gr.Markdown(
+    """
+    <style> body { text-align: right} </style>
+    map: 📄 [arxiv](https://arxiv.org/abs/2112.02749) &nbsp; ⇨ 👩‍💻 [github](https://github.com/FuxiVirtualHuman/AAAI22-one-shot-talking-face) &nbsp; ⇨ 🦒 [colab](https://github.com/camenduru/one-shot-talking-face-colab) &nbsp; ⇨ 🤗 [huggingface](https://huggingface.co/spaces/camenduru/one-shot-talking-face) &nbsp; | &nbsp; tools: 🌀 [duplicate this space](https://huggingface.co/spaces/camenduru/sandbox?duplicate=true) &nbsp; | 🐢 [tortoise tts](https://huggingface.co/spaces/mdnestor/tortoise) &nbsp; | 📺 [video upscaler](https://huggingface.co/spaces/kadirnar/Anime4k) &nbsp; | 🎨 [text-to-image](https://huggingface.co/models?pipeline_tag=text-to-image&sort=downloads) &nbsp; | 🐣 [twitter](https://twitter.com/camenduru) &nbsp; | ☕ [buy-a-coffee](https://ko-fi.com/camenduru) &nbsp;
+    """)
+    with gr.Group():
+      with gr.Box():
+        with gr.Row().style(equal_height=True):
+          image_in = gr.Image(show_label=False, type="filepath")
+          audio_in = gr.Audio(show_label=False, type='filepath')
+          video_out = gr.Video(show_label=False)
+        with gr.Row().style(equal_height=True):
+          btn = gr.Button("Generate")          
+
+    # examples = gr.Examples(examples=[
+    #   ["./examples/monalisa.jpg", "./examples/obama2.wav"],
+    #   ["./examples/monalisa.jpg", "./examples/trump.wav"],
+    #   ["./examples/o2.jpg", "./examples/obama2.wav"],
+    #   ["./examples/o2.jpg", "./examples/trump.wav" ],
+    #   ["./examples/image.png", "./examples/audio.wav"],
+    # ], fn=calculate, inputs=[image_in, audio_in], outputs=[video_out], cache_examples=True)
+
+    btn.click(generate_ocr, inputs=[image_in, audio_in], outputs=[video_out])
+    block.queue()
+    block.launch(server_name="0.0.0.0", server_port=7860)
+
+if __name__ == "__main__":
+    run()
 
 
 # image = gr.Image(show_label=True, type="filepath",label="Input Image")