Delete app.py

app.py

@@ -1,44 +0,0 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-# Using a powerful model for creative text generation
-MODEL = "google/flan-t5-large"
-tokenizer = AutoTokenizer.from_pretrained(MODEL)
-model = AutoModelForSeq2SeqLM.from_pretrained(MODEL)
-
-def generate_story(topic, style_choice, lang_choice):
-    # Language and style selection based on user input
-    if lang_choice == "Arabic":
-        if style_choice == "Blog Post (Descriptive)":
-            prompt = f"اكتب مقالاً مفصلاً لمدونة باللغة العربية عن: {topic}. اجعل النغمة شخصية، ووصف الأماكن والأحداث بشكل جذاب."
-        elif style_choice == "Social Media Post (Short & Catchy)":
-            prompt = f"اكتب منشوراً قصيراً وجذاباً باللغة العربية عن: {topic}، مع إيموجي وهاشتاغات مقترحة."
-        else: # Video Script (Storytelling)
-            prompt = f"اكتب سيناريو فيديو (script) باللغة العربية عن: {topic}. ركز على سرد قصة عاطفية وجذابة، مع وصف للمشاهد."
-    else: # English
-        if style_choice == "Blog Post (Descriptive)":
-            prompt = f"Write a detailed blog post in English about: {topic}. Make the tone personal, and describe the places and events attractively."
-        elif style_choice == "Social Media Post (Short & Catchy)":
-            prompt = f"Write a short and catchy social media post in English about: {topic}, with emojis and suggested hashtags."
-        else: # Video Script (Storytelling)
-            prompt = f"Write a video script (storytelling) in English about: {topic}. Focus on a personal and emotional story, with scene descriptions."
-
-    try:
-        inputs = tokenizer(prompt, return_tensors="pt")
-        outs = model.generate(**inputs, max_length=500, num_beams=5, early_stopping=True)
-        return tokenizer.decode(outs[0], skip_special_tokens=True)
-    except Exception as e:
-        return f"An error occurred: {str(e)}. Please make sure the topic is clearly written."
-
-iface = gr.Interface(
-    fn=generate_story,
-    inputs=[
-        gr.Textbox(label="Topic (e.g., 'My trip to Paris, seeing the Eiffel Tower and eating croissants')"),
-        gr.Radio(["Blog Post (Descriptive)", "Social Media Post (Short & Catchy)", "Video Script (Storytelling)"], label="Style"),
-        gr.Radio(["Arabic", "English"], label="Language")
-    ],
-    outputs=gr.Textbox(label="Result", lines=10)
-)
-
-if __name__ == "__main__":
-    iface.launch()