app.py

import gradio as gr
from transformers import pipeline
from gtts import gTTS
import tempfile

# Load Hugging Face pipelines
sentiment_model = pipeline("sentiment-analysis")
summarizer_model = pipeline("summarization")

# Sentiment analysis function
def analyze_sentiment(text):
    result = sentiment_model(text)[0]
    label = result['label']
    score = round(result['score'], 2)
    return f"Sentiment: {label}, Confidence: {score}"

# Summarization function
def summarize_text(text):
    summary = summarizer_model(text, max_length=60, min_length=15, do_sample=False)
    return summary[0]['summary_text']

# Text-to-speech function
def text_to_speech(text):
    tts = gTTS(text)
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
        tts.save(fp.name)
        return fp.name

# Gradio app with separate tabs/pages
with gr.Blocks() as demo:
    gr.Markdown("## 📘 Homework - Tuwaiq Academy")

    with gr.Tab("🔍 Sentiment Analysis"):
        gr.Markdown("### Analyze the sentiment of your text")
        input_sent = gr.Textbox(label="Enter your text", lines=6, placeholder="Type something...")
        output_sent = gr.Textbox(label="Sentiment Result")
        btn_sent = gr.Button("Analyze")
        btn_sent.click(analyze_sentiment, inputs=input_sent, outputs=output_sent)

    with gr.Tab("📝 Summarization"):
        gr.Markdown("### Summarize your text")
        input_sum = gr.Textbox(label="Enter your text", lines=6, placeholder="Paste a paragraph...")
        output_sum = gr.Textbox(label="Summary")
        btn_sum = gr.Button("Summarize")
        btn_sum.click(summarize_text, inputs=input_sum, outputs=output_sum)

    with gr.Tab("🔊 Text to Speech"):
        gr.Markdown("### Convert text to speech")
        input_tts = gr.Textbox(label="Enter your text", lines=6, placeholder="Text for audio...")
        output_audio = gr.Audio(label="Speech Output", type="filepath")
        btn_tts = gr.Button("Convert")
        btn_tts.click(text_to_speech, inputs=input_tts, outputs=output_audio)

demo.launch()