Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Project 1: Bilingual Story Generation
+english_story_generator = pipeline("text-generation", model="gpt2")
+arabic_story_generator = pipeline("text-generation", model="aubmindlab/arabert")
+
+def generate_story(prompt, language):
+    if language == "English":
+        return english_story_generator(prompt, max_length=200)[0]['generated_text']
+    else:  # Arabic
+        return arabic_story_generator(prompt, max_length=200)[0]['generated_text']
+
+# Project 2: Bilingual Text-to-Speech
+english_tts = pipeline("text-to-speech", model="facebook/tts_transformer")
+arabic_tts = pipeline("text-to-speech", model="google/arabic_tts")
+
+def text_to_speech(text, language):
+    if language == "English":
+        audio = english_tts(text)
+    else:  # Arabic
+        audio = arabic_tts(text)
+    return audio
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    with gr.Row():
+        language_choice = gr.Radio(choices=["English", "Arabic"], label="Select Language")
+        prompt_input = gr.Textbox(label="Enter a story prompt")
+        generate_button = gr.Button("Generate Story")
+    
+    story_output = gr.Textbox(label="Generated Story", interactive=False)
+    
+    generate_button.click(generate_story, inputs=[prompt_input, language_choice], outputs=story_output)
+    
+    tts_input = gr.Textbox(label="Paste your story for TTS")
+    tts_button = gr.Button("Read Story Aloud")
+    audio_output = gr.Audio(label="Audio Output", type="numpy")
+    
+    tts_button.click(text_to_speech, inputs=[tts_input, language_choice], outputs=audio_output)
+
+demo.launch()