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Create app.py
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app.py
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import pandas as pd
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import numpy as np
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import faiss
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import gradio as gr
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from sentence_transformers import SentenceTransformer
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from gtts import gTTS
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import tempfile
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# Load transformer model
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model = SentenceTransformer('all-MiniLM-L6-v2')
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# Load and prepare the FAQ data
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def load_static_csv():
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df = pd.read_csv("faq.csv")
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df.columns = ['question', 'answer']
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return df
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# Load data and build FAISS index
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data = load_static_csv()
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question_embeddings = model.encode(data['question'].tolist())
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faq_index = faiss.IndexFlatL2(question_embeddings.shape[1])
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faq_index.add(np.array(question_embeddings))
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# Function to return answer text and audio file
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def ask_question(query, k=1):
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query_embedding = model.encode([query])
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D, I = faq_index.search(np.array(query_embedding), k=k)
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results = ""
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for idx in I[0]:
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a = data.iloc[idx]['answer']
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results += f"{a}\n\n"
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results = results.strip()
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# Convert text to speech
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tts = gTTS(text=results, lang='en')
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
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tts.save(temp_file.name)
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return results, temp_file.name
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custom_css = """
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body, html, .gradio-container {
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background-color: #FFDDEE !important; /* baby pink */
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color: black !important;
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font-family: 'Segoe UI', sans-serif;
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}
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/* Title */
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h1 {
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color: black !important;
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text-align: center;
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font-weight: 700;
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margin-top: 20px;
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}
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/* Subheading text */
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.gr-markdown > p {
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color: black !important;
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text-align: center;
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font-size: 16px;
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font-weight: 500;
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}
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/* Labels and inputs */
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label {
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color: black !important;
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font-weight: bold;
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}
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textarea, input[type="text"] {
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border-radius: 10px !important;
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padding: 10px;
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border: 1px solid #aaa;
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background-color: white;
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color: black;
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}
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/* Button */
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button {
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background-color: white !important;
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color: black !important;
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font-weight: bold;
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border-radius: 10px;
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padding: 10px 20px;
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border: 2px solid black;
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margin-top: 10px;
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cursor: pointer;
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}
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/* Answer box */
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#answer-box {
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background-color: white;
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color: black !important;
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border-radius: 12px;
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padding: 16px;
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font-size: 16px;
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border: 1px solid #ccc;
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box-shadow: 0 2px 6px rgba(0, 0, 0, 0.1);
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margin-top: 10px;
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}
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#answer-box p {
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color: black !important;
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}
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/* AUDIO PLAYER FIXES */
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audio {
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width: 100% !important;
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}
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.gr-audio {
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background-color: white;
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border-radius: 10px;
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padding: 16px;
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border: 1px solid #bbb;
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margin-top: 10px;
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}
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/* Target speed and audio buttons better */
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.gr-audio .speed-button,
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.gr-audio .audio-button {
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border: 2px solid black;
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color: black !important;
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background-color: white !important;
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border-radius: 8px;
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padding: 4px 10px;
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font-weight: bold;
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min-width: 48px;
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text-align: center;
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display: inline-block;
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}
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.gr-audio .speed-button span {
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color: black !important;
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font-weight: bold;
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display: inline-block;
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width: 100%;
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text-align: center;
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}
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/* Make sure play/pause button is visible */
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.gr-audio .play-button svg,
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.gr-audio .pause-button svg {
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fill: black !important;
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height: 24px;
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width: 24px;
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}
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"""
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#Gradio UI
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with gr.Blocks(css=custom_css) as demo:
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gr.Markdown(
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"<h1>🧘 MentalWell Q&A</h1>"
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"<p>Ask any mental health related question based on our FAQ knowledge base.</p>"
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)
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with gr.Column():
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query_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here…", lines=1)
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ask_button = gr.Button("Get Answer")
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with gr.Column():
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output_text = gr.Markdown(elem_id="answer-box")
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output_audio = gr.Audio(label="Listen", type="filepath")
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ask_button.click(fn=ask_question, inputs=query_input, outputs=[output_text, output_audio])
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query_input.submit(fn=ask_question, inputs=query_input, outputs=[output_text, output_audio])
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demo.launch()
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