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app.py

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+import gradio as gr
+
+fastspeech = gr.Interface.load("huggingface/facebook/fastspeech2-en-ljspeech")
+clip = gr.Interface.load("spaces/DrishtiSharma/Text-to-Image-search-using-CLIP")
+
+
+def text2speech(text):
+    return fastspeech(text)
+
+
+def text2image(text):
+    image = clip(text)[0]
+    return gr.processing_utils.decode_base64_to_image(image)
+
+
+block = gr.Blocks()
+
+with block:
+    text = gr.inputs.Textbox(placeholder="Try writing something..")
+
+    with gr.Column():
+        with gr.Row():
+            get_audio = gr.Button("generate audio")
+            get_image = gr.Button("generate image")
+        with gr.Row():
+            speech = gr.outputs.Audio()
+            image = gr.outputs.Image()
+
+
+    get_audio.click(text2speech, inputs=text, outputs=speech)
+    get_image.click(text2image, inputs=text, outputs=image)
+
+block.launch()