Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 from gtts import gTTS
 import tempfile
 
-# Load models from Hugging Face
+# Load Hugging Face pipelines
 sentiment_model = pipeline("sentiment-analysis")
 summarizer_model = pipeline("summarization")
 
@@ -26,27 +26,29 @@ def text_to_speech(text):
         tts.save(fp.name)
         return fp.name
 
-# Build Gradio interface with Tabs
+# Gradio app with separate tabs/pages
 with gr.Blocks() as demo:
     gr.Markdown("## 📘 Homework - Tuwaiq Academy")
 
-    with gr.Tabs():
-        with gr.TabItem("🔍 Sentiment Analysis"):
-            input_sentiment = gr.Textbox(label="Enter your text", lines=6, placeholder="Type your text here...")
-            output_sentiment = gr.Textbox(label="Sentiment Result")
-            btn_sentiment = gr.Button("Analyze Sentiment")
-            btn_sentiment.click(analyze_sentiment, inputs=input_sentiment, outputs=output_sentiment)
-
-        with gr.TabItem("📝 Summarization"):
-            input_summary = gr.Textbox(label="Enter your text", lines=6, placeholder="Type your text here...")
-            output_summary = gr.Textbox(label="Summary")
-            btn_summarize = gr.Button("Summarize")
-            btn_summarize.click(summarize_text, inputs=input_summary, outputs=output_summary)
-
-        with gr.TabItem("🔊 Text to Speech"):
-            input_tts = gr.Textbox(label="Enter your text", lines=6, placeholder="Type your text here...")
-            output_audio = gr.Audio(label="Speech Output", type="filepath")
-            btn_tts = gr.Button("Convert to Speech")
-            btn_tts.click(text_to_speech, inputs=input_tts, outputs=output_audio)
+    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()