Update app.py

app.py

@@ -61,8 +61,17 @@ if st.button("Convert"):
 # File Uploader
 uploaded_file = st.file_uploader("Upload your text file here", type=['txt'])
 if uploaded_file is not None:
-    text = uploaded_file.getvalue().decode("utf-8")
-    audio_path = text_to_speech(text)
-    audio_file = open(audio_path, 'rb')
+    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
+    #To read file as string:
+    text = stringio.read()
+    st.write(text)
+    
+    st.button("Convert",key=1)
+    inputs = processor(text=text, return_tensors="pt")
+    spectrogram = model.generate_speech(inputs["input_ids"], speaker_embeddings)
+    with torch.no_grad():
+        speech = vocoder(spectrogram)
+        sf.write("speech.wav", speech.numpy(), samplerate=16000)
+    audio_file = open('speech.wav', 'rb')
     audio_bytes = audio_file.read()
     st.audio(audio_bytes, format='audio/wav')