Delete app.py

app.py

@@ -1,99 +0,0 @@
-import gradio as gr
-import requests
-import pandas as pd
-import random
-
-headers = {"User-Agent": "Mozilla/5.0"}
-
-# Google Autocomplete Count
-def google_suggest_count(keyword, country):
-    try:
-        url = f"https://suggestqueries.google.com/complete/search?client=firefox&hl={country}&q={keyword}"
-        res = requests.get(url, headers=headers, timeout=10).json()
-        return len(res[1])
-    except:
-        return 0
-
-# YouTube Autocomplete Count
-def youtube_suggest_count(keyword, country):
-    try:
-        url = f"https://suggestqueries.google.com/complete/search?client=firefox&hl={country}&ds=yt&q={keyword}"
-        res = requests.get(url, headers=headers, timeout=10).json()
-        return len(res[1])
-    except:
-        return 0
-
-def estimate_google_volume(keyword, country):
-    suggest = google_suggest_count(keyword, country)
-    base = random.randint(500, 5000)
-    volume = (suggest * 400) + base
-    return int(volume)
-
-def estimate_youtube_volume(keyword, country):
-    suggest = youtube_suggest_count(keyword, country)
-    base = random.randint(1000, 10000)
-    volume = (suggest * 300) + base
-    return int(volume)
-
-def competition_level(volume):
-    if volume < 5000:
-        return "Low"
-    elif volume < 20000:
-        return "Medium"
-    else:
-        return "High"
-
-# Main analysis
-def analyze_keywords(keywords_text, country, language, category):
-    keywords = [k.strip() for k in keywords_text.split("\n") if k.strip()]
-    data = []
-    for kw in keywords:
-        g_vol = estimate_google_volume(kw, country)
-        yt_vol = estimate_youtube_volume(kw, country)
-        data.append({
-            "Keyword": kw,
-            "Country": country,
-            "Language": language,
-            "Google Monthly Searches": g_vol,
-            "YouTube Monthly Searches": yt_vol,
-            "Category": category if category else "General",
-            "Competition": competition_level(g_vol),
-        })
-    df = pd.DataFrame(data)
-    return df
-
-# Gradio UI
-countries = ["US", "EG", "SA", "AE", "GB", "FR", "DE", "ALL"]  # يمكنك إضافة كل الدول
-languages = ["English", "Arabic"]
-categories = ["", "Technology", "Education", "Sports", "Health", "Finance"]
-
-with gr.Blocks(theme=gr.themes.Soft(), title="Keyword Research Dashboard") as app:
-    gr.Markdown("# 🔎 Global Keyword Research Dashboard (Google + YouTube)")
-    gr.Markdown("Multi-country, multi-language keyword analysis without API keys")
-
-    with gr.Row():
-        keywords_input = gr.Textbox(
-            label="Enter Keywords (One per line)",
-            lines=10,
-            placeholder="example:\nseo tools\nmake money online\nyoutube automation"
-        )
-    
-    with gr.Row():
-        country_input = gr.Dropdown(countries, value="ALL", label="Select Country")
-        language_input = gr.Dropdown(languages, value="English", label="Select Language")
-        category_input = gr.Dropdown(categories, value="", label="Optional Category")
-    
-    analyze_btn = gr.Button("Analyze Keywords", variant="primary")
-    
-    output_table = gr.Dataframe(
-        headers=["Keyword","Country","Language","Google Monthly Searches","YouTube Monthly Searches","Category","Competition"],
-        interactive=False
-    )
-    
-    analyze_btn.click(
-        fn=analyze_keywords,
-        inputs=[keywords_input, country_input, language_input, category_input],
-        outputs=output_table
-    )
-
-app.launch()