Update app.py

app.py

@@ -80,11 +80,6 @@ def text_to_sentiment(text):
     sentiment = classifier(text)[0]["label"]
     return sentiment 
 
-#TTStory
-def text_to_story(text):
-    story= story_gen(text)[0]["label"]
-    return story
-
 #Save
 def upsert(text):
     date_time =str(datetime.datetime.today())
@@ -122,13 +117,6 @@ def tts(text: str, model_name: str):
         synthesizer.save_wav(wavs, fp)
         return fp.name
         
-#TTStory
-def ttstory(text: str, model_name: str):
-    print(text, model_name)
-    gen = GENERATORS.get(model_name, None)
-    if gen is None:
-        raise NameError("model not found")
-
 
 #Blocks Rock It
 demo = gr.Blocks()
@@ -140,7 +128,6 @@ with demo:
     saved = gr.Textbox()
     savedAll = gr.Textbox()
     TTSchoice = gr.inputs.Radio( label="Pick a TTS Model", choices=MODEL_NAMES,   )
-    Storychoice = gr.inputs.Radio( label="Pick a Story Generator", choices=GEN_NAMES,   )
     audio = gr.Audio(label="Output", interactive=False)
     
     
@@ -150,7 +137,6 @@ with demo:
     b3 = gr.Button("Save Speech to Text")
     b4 = gr.Button("Retrieve All")
     b5 = gr.Button("Read It Back Aloud")
-    b6 = gr.Button("Generate a Story")
 
     #Event Model Chains
     b1.click(speech_to_text, inputs=audio_file, outputs=text)
@@ -158,13 +144,11 @@ with demo:
     b3.click(upsert, inputs=text, outputs=saved)
     b4.click(selectall, inputs=text, outputs=savedAll)
     b5.click(tts,  inputs=[text,TTSchoice], outputs=audio)
-    b6.click(text_to_story,  inputs=text, outputs=text)
 
 # Lets Do It
 demo.launch(share=True)
 
 title = "Story Generators"
-
 examples = [
     ["At which point do we invent Love?"],
     ["Love is a capacity more than consciousness is universal."],