First commit

app.py

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+import json
+import streamlit as st
+import requests
+
+headers = {"Authorization": f"Bearer api_LbZppGQTIlpuKxWWbyNLvgPXLxXCbKYiMr"}
+API_URL_TTS = "https://api-inference.huggingface.co/models/espnet/kan-bayashi_ljspeech_vits"
+
+def query_audio_tts(payload):
+    data = json.dumps(payload)
+    response = requests.request("POST", API_URL_TTS, headers=headers, data=data)
+    return response.content
+
+
+st.title('TEST TTS INFERENCE API')
+
+question = st.text_input('Enter a question')
+
+if question:
+
+    with st.spinner("Generating an audio..."):
+        audio_file = query_audio_tts({
+            "inputs": question,
+            "parameters": {
+                "vocoder_tag": "str_or_none(none)",
+                "threshold": 0.5,
+                "minlenratio": 0.0,
+                "maxlenratio": 10.0,
+                "use_att_constraint": False,
+                "backward_window": 1,
+                "forward_window": 3,
+                "speed_control_alpha": 1.0,
+                "noise_scale": 0.333,
+                "noise_scale_dur": 0.333
+            }
+        })
+
+        with open("out.flac", "wb") as f:
+            f.write(audio_file)
+            
+            st.audio("out.flac")

requirements.txt

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+streamlit==1.1.0
+datasets==1.11.0
+requests