update app file

app.py

@@ -12,18 +12,12 @@ import os
 stable_diffusion = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")
 ### ————————————————————————————————————————
 
-title="Whisper to Stable Diffusion"
+title="DataTeller"
 
 ### ————————————————————————————————————————
 
 whisper_model = whisper.load_model("small")
 
-#device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-
-#pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", use_auth_token=MY_SECRET_TOKEN)
-#pipe.to(device)
-
-### ————————————————————————————————————————
 
 def get_images(prompt):
     gallery_dir = stable_diffusion(prompt, fn_index=2)
@@ -38,52 +32,13 @@ def magic_whisper_to_sd(audio, guidance_scale, nb_iterations, seed):
 
     return whisper_results[0], whisper_results[1], whisper_results[2], images
 
-#def diffuse(prompt, guidance_scale, nb_iterations, seed):
-#
-#    generator = torch.Generator(device=device).manual_seed(int(seed))
-#
-#    print("""
-#    —
-#    Sending prompt to Stable Diffusion ...
-#    —
-#    """)
-#    print("prompt: " + prompt)
-#    print("guidance scale: " + str(guidance_scale))
-#    print("inference steps: " + str(nb_iterations))
-#    print("seed: " + str(seed))
-#
-#    images_list = pipe(
-#            [prompt] * 2,
-#            guidance_scale=guidance_scale,
-#            num_inference_steps=nb_iterations,
-#            generator=generator
-#        )
-#
-#    images = []
-#
-#    safe_image = Image.open(r"unsafe.png")
-#
-#    for i, image in enumerate(images_list["sample"]):
-#        if(images_list["nsfw_content_detected"][i]):
-#            images.append(safe_image)
-#        else:
-#            images.append(image)
-#
-#
-#    print("Stable Diffusion has finished")
-#    print("———————————————————————————————————————————")
-#
-#    return images
-
 def translate(audio):
     print("""
     —
     Sending audio to Whisper ...
     —
     """)
-    # current dateTime
     now = datetime.now()
-    # convert to string
     date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
     print('DateTime String:', date_time_str)
 
@@ -274,14 +229,14 @@ with gr.Blocks(css=css) as demo:
     with gr.Column():
         gr.HTML('''
             <h1>
-                Whisper to Stable Diffusion
+                DataTeller
             </h1>
             <p style='text-align: center;'>
-                Ask stable diffusion for images by speaking (or singing 🤗) in your native language ! Try it in French 😉
+                Generate data visualizations by speaking in your native language ! Try it in Romanian 😉
             </p>
 
             <p style='text-align: center;'>
-                This demo is wired to the official SD Space • Offered by Sylvain <a href='https://twitter.com/fffiloni' target='_blank'>@fffiloni</a> • <img id='visitor-badge' alt='visitor badge' src='https://visitor-badge.glitch.me/badge?page_id=gradio-blocks.whisper-to-stable-diffusion' style='display: inline-block' /><br />
+                This demo is wired to the official SD Space and using the Whisper model
                 —
             </p>
 
@@ -318,7 +273,7 @@ with gr.Blocks(css=css) as demo:
                                 )
                 with gr.Row():
                     audio_u_translate = gr.Button("Check Whisper first ? 👍", elem_id="check_btn_2")
-                    audio_u_direct_sd = gr.Button("Magic Whisper › SD right now!", elem_id="magic_btn_2")
+                    # audio_u_direct_sd = gr.Button("Magic Whisper › SD right now!", elem_id="magic_btn_2")
 
         with gr.Accordion(label="Stable Diffusion Settings", elem_id="sd_settings", visible=False):
             with gr.Row():