Update app.py

app.py

@@ -1,52 +1,21 @@
 import gradio as gr
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.io import wavfile
 
-# Crea una funzione per gestire la selezione dell'applicazione
-def select_app(app_name):
-if app_name == 'App 1':
-        
-    from tts_voice import tts_order_voice
-    import edge_tts
-    import gradio as gr
-    import tempfile
-    import anyio
+def create_spectrogram(audio_file):
+    # Leggi il file audio
+    sample_rate, data = wavfile.read(audio_file.name)
 
-    language_dict = tts_order_voice
+    # Crea lo spettrogramma
+    plt.specgram(data, Fs=sample_rate)
 
-    async def text_to_speech_edge(text, language_code):
-        voice = language_dict[language_code]
-        communicate = edge_tts.Communicate(text, voice)
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
-            tmp_path = tmp_file.name
-    
-        await communicate.save(tmp_path)
+    # Salva lo spettrogramma in un file PNG
+    plt.savefig('spectrogram.png')
 
-        return "Text input：{}".format(text), tmp_path
+    # Ritorna il file PNG dello spettrogramma
+    return 'spectrogram.png'
 
-
-
-    input_text = gr.inputs.Textbox(lines=5, label="Text")
-    output_text = gr.outputs.Textbox(label="Text input")
-    output_audio = gr.outputs.Audio(type="filepath", label="Audio output")
-    default_language = list(language_dict.keys())[0]
-    language = gr.inputs.Dropdown(choices=list(language_dict.keys()), default=default_language, label="Choose the language and the model")
-
-
-    interface = gr.Interface(fn=text_to_speech_edge, inputs=[input_text, language], outputs=[output_text, output_audio], title="Ilaria TTS 💖")
-
-
-if __name__ == "__main__":
-    anyio.run(interface.launch, backend="asyncio")
-        pass
-    elif app_name == 'App 2':
-        # Codice per l'applicazione 2
-        pass
-    elif app_name == 'App 3':
-        # Codice per l'applicazione 3
-        pass
-    elif app_name == 'App 4':
-        # Codice per l'applicazione 4
-        pass
-
-# Crea l'interfaccia principale con la selezione dell'applicazione
-iface = gr.Interface(fn=select_app, inputs="dropdown", outputs="textbox")
+# Crea l'interfaccia Gradio
+iface = gr.Interface(fn=create_spectrogram, inputs=gr.inputs.Audio(type="file"), outputs="image")
 iface.launch()