Update app.py

app.py

@@ -0,0 +1,134 @@
+import pandas as pd
+import numpy as np
+import faiss
+import gradio as gr
+from sentence_transformers import SentenceTransformer
+from gtts import gTTS
+import tempfile
+
+# Load CSV
+df = pd.read_csv("Mental_Health_FAQ.csv")
+df = df.rename(columns={'Questions': 'question', 'Answers': 'answer'})
+
+# Load embedding model
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
+# Build FAISS index
+question_embeddings = model.encode(df['question'].tolist())
+faq_index = faiss.IndexFlatL2(question_embeddings.shape[1])
+faq_index.add(np.array(question_embeddings))
+
+
+# Function to handle user input
+def ask_question(query, k=1):
+    if not query.strip():
+        return "❌ Please enter a valid question.", None
+
+    query_embedding = model.encode([query])
+    D, I = faq_index.search(np.array(query_embedding), k=k)
+
+    results = ""
+    for idx in I[0]:
+        a = df.iloc[idx]['answer']
+        results += f"{a}\n\n"
+    results = results.strip()
+
+    # Convert answer to speech
+    tts = gTTS(text=results, lang='en')
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
+    tts.save(temp_file.name)
+
+    return results, temp_file.name
+
+
+# Custom CSS for Gradio
+custom_css = """
+body, html, .gradio-container {
+    background-color: #ffffff !important;
+    color: #000000 !important;
+    font-family: 'Segoe UI', sans-serif;
+    padding: 20px;
+}
+h1 {
+    text-align: center;
+    color: #222222 !important;
+    font-weight: 800;
+    font-size: 2.4rem;
+}
+.gr-markdown > p {
+    text-align: center;
+    font-size: 1rem;
+    font-weight: 500;
+    color: #444444;
+}
+label {
+    color: #000000 !important;
+    font-weight: bold;
+    font-size: 0.95rem;
+}
+textarea, input[type="text"] {
+    border-radius: 12px !important;
+    padding: 14px;
+    font-size: 1rem;
+    border: 1px solid #ccc;
+    background-color: #ffffff;
+    color: #000000;
+    box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+}
+button {
+    background: #000000 !important;
+    color: #ffffff !important;
+    font-weight: bold;
+    border-radius: 10px;
+    padding: 12px 24px;
+    border: none;
+    margin-top: 10px;
+    cursor: pointer;
+    transition: all 0.3s ease;
+}
+button:hover {
+    background: #333333 !important;
+}
+#answer-box {
+    background-color: #f9f9f9;
+    border-radius: 12px;
+    padding: 18px;
+    font-size: 1rem;
+    color: #111111 !important;
+    border: 1px solid #ddd;
+    box-shadow: 0 2px 6px rgba(0,0,0,0.05);
+    margin-top: 20px;
+}
+audio {
+    width: 100% !important;
+    margin-top: 10px;
+}
+.gr-audio {
+    background-color: #f9f9f9;
+    border-radius: 10px;
+    padding: 14px;
+    border: 1px solid #ccc;
+    box-shadow: 0 2px 4px rgba(0,0,0,0.05);
+    margin-top: 10px;
+}
+"""
+
+# Gradio UI
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown(
+        "<h1>🧠 Welcome to MentalWell Assistant</h1>"
+        "<p>Type any question about mental health and get a quick, accurate answer — and even listen to it aloud!</p>"
+    )
+
+    with gr.Column():
+        query_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here…", lines=1)
+        ask_button = gr.Button("Get Answer")
+
+    with gr.Column():
+        output_text = gr.Markdown(elem_id="answer-box")
+        output_audio = gr.Audio(label="🔊 Listen to Answer", type="filepath")
+
+    ask_button.click(fn=ask_question, inputs=query_input, outputs=[output_text, output_audio])
+    query_input.submit(fn=ask_question, inputs=query_input, outputs=[output_text, output_audio])
+
+demo.launch(share=True)