Update src/streamlit_app.py
Browse files- src/streamlit_app.py +32 -39
src/streamlit_app.py
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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""
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})
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st.
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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import streamlit as st
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import requests
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st.title("🎤 Text-to-Speech (Hugging Face API)")
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message = st.text_area("Enter Message", "Happy Birthday! Wishing you a joyful day filled with love and laughter.")
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emotion = st.text_input("Emotion", "happy")
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voice = st.text_input("Voice", "coral")
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if st.button("Generate Audio"):
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with st.spinner("Generating audio from Hugging Face..."):
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# Replace with the actual API endpoint
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API_URL = "https://nihalgazi-text-to-speech-unlimited.hf.space/run/predict"
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# Gradio-style input
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payload = {
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"data": [message, emotion, voice]
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}
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try:
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response = requests.post(API_URL, json=payload).json()
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audio_url = response["data"][0] # assuming this contains a URL or base64 audio
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if audio_url.startswith("http"):
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st.audio(audio_url)
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st.success("✅ Audio generated!")
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st.markdown(f"[🔗 Download Audio]({audio_url})", unsafe_allow_html=True)
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else:
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st.error("Unexpected audio format returned.")
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except Exception as e:
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st.error(f"Error: {e}")
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