Update app.py

app.py

@@ -1,49 +1,49 @@
 import gradio as gr
 from transformers import pipeline
-import pyttsx3
+from gtts import gTTS
 
-# Load pipelines
+# تحميل النماذج من Hugging Face
 sentiment_model = pipeline("sentiment-analysis")
 summarizer_model = pipeline("summarization")
-# Text-to-Speech using pyttsx3 (offline TTS engine)
-engine = pyttsx3.init()
 
-# Define Sentiment Analysis function
+# دالة تحليل المشاعر
 def analyze_sentiment(text):
     result = sentiment_model(text)[0]
-    return f"Sentiment: {result['label']}, Confidence: {result['score']:.2f}"
+    label = result['label']
+    score = round(result['score'], 2)
+    return f"Sentiment: {label}, Confidence: {score}"
 
-# Define Summarization function
+# دالة التلخيص
 def summarize_text(text):
     summary = summarizer_model(text, max_length=60, min_length=15, do_sample=False)
     return summary[0]['summary_text']
 
-# Define TTS function and save to file
+# دالة تحويل النص إلى صوت
 def text_to_speech(text):
-    filename = "output_audio.wav"
-    engine.save_to_file(text, filename)
-    engine.runAndWait()
+    filename = "output_audio.mp3"
+    tts = gTTS(text)
+    tts.save(filename)
     return filename
 
-# Create Gradio interface
+# بناء الواجهة بـ Gradio
 with gr.Blocks() as demo:
-    gr.Markdown("## 🧠 NLP Tools: Sentiment | Summarization | Text-to-Speech")
-    
+    gr.Markdown("## 🧠 NLP Tools: Sentiment Analysis | Summarization | Text-to-Speech")
+
     with gr.Row():
-        input_text = gr.Textbox(label="Enter your text here", lines=6, placeholder="Type or paste your text here...")
+        input_text = gr.Textbox(label="Enter your text", lines=6, placeholder="Type or paste your text here...")
 
     with gr.Row():
-        sentiment_btn = gr.Button("🔍 Analyze Sentiment")
-        summarize_btn = gr.Button("📝 Summarize")
-        tts_btn = gr.Button("🔊 Text to Speech")
+        btn_sentiment = gr.Button("🔍 Analyze Sentiment")
+        btn_summarize = gr.Button("📝 Summarize")
+        btn_tts = gr.Button("🔊 Convert to Speech")
 
     with gr.Row():
-        sentiment_output = gr.Textbox(label="Sentiment Result")
-        summary_output = gr.Textbox(label="Summary")
-        audio_output = gr.Audio(label="Audio Output")
+        output_sentiment = gr.Textbox(label="Sentiment Result")
+        output_summary = gr.Textbox(label="Summary")
+        output_audio = gr.Audio(label="Text to Speech Output")
 
-    sentiment_btn.click(analyze_sentiment, inputs=input_text, outputs=sentiment_output)
-    summarize_btn.click(summarize_text, inputs=input_text, outputs=summary_output)
-    tts_btn.click(text_to_speech, inputs=input_text, outputs=audio_output)
+    btn_sentiment.click(analyze_sentiment, inputs=input_text, outputs=output_sentiment)
+    btn_summarize.click(summarize_text, inputs=input_text, outputs=output_summary)
+    btn_tts.click(text_to_speech, inputs=input_text, outputs=output_audio)
 
 demo.launch()