Delete app.py

app.py

@@ -1,44 +0,0 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-MODEL = "MODEL = "facebook/opt-iml-1.3b"  # A multi-lingual model
-tokenizer = AutoTokenizer.from_pretrained(MODEL)
-model = AutoModelForSeq2SeqLM.from_pretrained(MODEL)
-
-def generate_content(topic, lang_choice, content_type):
-    # Language selection based on user input
-    if lang_choice == "Arabic":
-        if content_type == "YouTube Script":
-            prompt = f"اكتب سكربت يوتيوب احترافي باللغة العربية عن: {topic}. اجعله دقيقة واحدة مع مقدمة جذابة ونقاط أساسية وخاتمة."
-        elif content_type == "YouTube Title":
-            prompt = f"أنشئ عنوان يوتيوب جذاب قصير لا يتجاوز 60 حرفاً عن: {topic}."
-        elif content_type == "Description + SEO":
-            prompt = f"اكتب وصف يوتيوب مُحسَّن للسيو عن: {topic} مع هاشتاغات مقترحة."
-        else: # LinkedIn Post
-            prompt = f"اكتب منشور لينكدإن احترافي قصير بالعربية عن: {topic}."
-    else: # English
-        if content_type == "YouTube Script":
-            prompt = f"Write a professional YouTube script in English about: {topic}. Make it one minute long with an engaging intro, key points, and a conclusion."
-        elif content_type == "YouTube Title":
-            prompt = f"Create a catchy YouTube title in English, under 60 characters, about: {topic}."
-        elif content_type == "Description + SEO":
-            prompt = f"Write an SEO-friendly YouTube description about: {topic} with suggested hashtags."
-        else: # LinkedIn Post
-            prompt = f"Write a professional LinkedIn post in English about: {topic}."
-
-    inputs = tokenizer(prompt, return_tensors="pt")
-    outs = model.generate(**inputs, max_length=300)
-    return tokenizer.decode(outs[0], skip_special_tokens=True)
-
-iface = gr.Interface(
-    fn=generate_content,
-    inputs=[
-        gr.Textbox(label="Topic"),
-        gr.Radio(["Arabic", "English"], label="Language"),
-        gr.Radio(["YouTube Script", "YouTube Title", "Description + SEO", "LinkedIn Post"], label="Content Type")
-    ],
-    outputs=gr.Textbox(label="Result")
-)
-
-if __name__ == "__main__":
-    iface.launch()