Update app.py

app.py

@@ -70,7 +70,7 @@ def keywords(text,prompt_num,user_keywords):
 
         sentence = []
 
-        style_prompts = ["perfect shading, soft studio lighting, ultra-realistic, photorealistic, octane render, cinematic lighting, hdr, in-frame, 4k, 8k, edge lighting", "detailed, colourful, psychedelic, unreal engine, octane render, blender effect", "mechanical features, cybernetic eyes, baroque, rococo, anodized titanium highly detailed mechanisms, gears, fiber, cogs, bulbs, wires, cables, 70mm, Canon EOS 6D Mark II, 4k, 35mm (FX, Full-Frame), f/2.5, extremely detailed, very high details, photorealistic, hi res, hdr, UHD, hyper-detailed, ultra-realistic, vibrant, centered, vivid colors, Wide angle, zoom out",  "detailed, soft ambiance, japanese influence, unreal engine 5, octane render", "perfect shading, soft studio lighting, ultra-realistic, photorealistic, octane render, cinematic lighting, hdr, in-frame, 4k, 8k, edge lighting --v 4"]
+        style_prompts = ["perfect shading, soft studio lighting, ultra-realistic, photorealistic, octane render, cinematic lighting, hdr, in-frame, 4k, 8k, edge lighting", "detailed, colourful, unreal engine, octane render, blender effect", "70mm, Canon EOS 6D Mark II, 4k, 35mm (FX, Full-Frame), f/2.5, extremely detailed, very high details, photorealistic, hi res, hdr, UHD, hyper-detailed, ultra-realistic, vibrant, centered, vivid colors, Wide angle, zoom out",  "detailed, soft ambiance, japanese influence, unreal engine 5, octane render", "perfect shading, soft studio lighting, ultra-realistic, photorealistic, octane render, cinematic lighting, hdr, in-frame, 4k, 8k, edge lighting --v 4"]
         
         my_list = user_keywords.split(',')
         print(my_list)
@@ -137,8 +137,8 @@ def keywords(text,prompt_num,user_keywords):
     
     return images,transcription,keyword_pool,generated_prompts
 
-speech_text = gr.Interface(fn=transcribe, inputs=[gr.Audio(source="microphone", type="filepath"),gr.Number(placeholder = "Number of Images to be generated (int): "),gr.Textbox(placeholder = "Additional keywords (comma delimitied): ")], outputs=["text","number","text"], title = 'Speech to Image Generator', enable_queue=True)
-text_prompts = gr.Interface(fn=keywords, inputs=["text","number","text"], outputs=[gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2], height="auto"),"text","text","text"], title = 'Speech to Image Generator', enable_queue=True)
+speech_text = gr.Interface(fn=transcribe, inputs=[gr.Audio(source="microphone", type="filepath"),gr.Number(label = "Number of Images to be generated (int): "),gr.Textbox(label = "Additional keywords (comma delimitied): ")], outputs=["text","number","text"], title = 'Speech to Image Generator', enable_queue=True)
+text_prompts = gr.Interface(fn=keywords, title = 'Speech-to-Image-Generator', inputs=["text","number","text"], outputs=[gr.Gallery(label="Generated images", show_label=True, elem_id="gallery").style(grid=[2], height="auto"),gr.TextArea(label="Transcription"),gr.TextArea(label="Keywords"),gr.TextArea(label="Generated Prompts")], enable_queue=True)
 
 gr.Series(speech_text,text_prompts).launch(inline = False, enable_queue=True).queue()