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README.md

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----
-title: MultiLingualNewsHub AI
-emoji: 🐢
-colorFrom: purple
-colorTo: blue
-sdk: gradio
-sdk_version: 5.21.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: AI-powered news in multiple languages on any topic.
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Multilingual AI News Generator
+
+This application uses LLM agents to fetch and edit news articles on any topic in multiple languages. It combines DuckDuckGo search with AI text generation to create ready-to-publish news articles in the language of your choice.
+
+## How it works
+
+1. Enter a topic in the textbox
+2. Select your preferred language from the dropdown (19 languages supported)
+3. Click "Generate News Article"
+4. The app will:
+   - Search for recent news on your topic in the selected language
+   - Compile the search results
+   - Use an AI editor to rewrite the articles into a cohesive, publication-ready format in the selected language
+
+## Technical Details
+
+This application uses:
+- DuckDuckGo search API for fetching news in multiple languages
+- OpenAI's GPT-4o-mini model for multilingual text generation and editing
+- Agents framework for orchestrating multi-step AI workflows
+- Gradio for the user interface
+- Support for 19 languages including English, Hindi, Kannada, Spanish, and more
+
+## Setup
+
+If you're running this locally, you'll need to set up the following environment variables:
+- `OPENAI_API_KEY`: Your OpenAI API key
+
+## Credits
+
+Built with ❤️ using Gradio and Hugging Face

app.py

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+import gradio as gr
+from duckduckgo_search import DDGS
+from datetime import datetime
+import os
+from openai import OpenAI  # Using standard OpenAI client
+from agents import Agent, Runner, function_tool  # Assuming agents package is installed
+
+# Set up environment variables
+# For Hugging Face Spaces, set these in the Settings > Repository secrets
+OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")  # You'll need to add this to HF Spaces secrets
+
+# Get current date for default value
+default_date = datetime.now().strftime("%Y-%m-%d")
+
+# Configure OpenAI client to use HuggingFace or OpenAI API
+client = OpenAI(
+    api_key=OPENAI_API_KEY,
+    # If using OpenAI directly
+    # If using a different API endpoint (e.g., HF Inference API), uncomment and adjust:
+    # base_url="https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-70b-instruct"
+)
+
+# Define the model - assuming the agents library supports standard OpenAI client
+from agents import OpenAIChatCompletionsModel  # Adjust import if needed
+
+model = OpenAIChatCompletionsModel(
+    model="gpt-4o-mini",  # Using GPT-4o-mini for better performance at a lower cost
+    openai_client=client
+)
+
+# News search tool
+@function_tool
+def get_news_articles(topic, language="English", search_date=None):
+    # Use provided date or default to current date
+    if not search_date:
+        search_date = datetime.now().strftime("%Y-%m")
+    else:
+        # Convert from date picker format (YYYY-MM-DD) to YYYY-MM format
+        search_date = search_date[:7]  # Just get YYYY-MM portion
+        
+    print(f"Running DuckDuckGo news search for {topic} in {language} for date {search_date}...")
+    
+    # Map common languages to their search keywords
+    language_keywords = {
+        "English": "",  # Default, no special keyword needed
+        "Hindi": "हिंदी",
+        "Spanish": "español",
+        "French": "français",
+        "German": "deutsch",
+        "Japanese": "日本語",
+        "Chinese": "中文",
+        "Russian": "русский",
+        "Arabic": "العربية",
+        "Portuguese": "português",
+        "Italian": "italiano",
+        "Dutch": "nederlands",
+        "Korean": "한국어",
+        "Turkish": "türkçe",
+        "Kannada": "ಕನ್ನಡ",
+        "Tamil": "தமிழ்",
+        "Telugu": "తెలుగు",
+        "Bengali": "বাংলা",
+        "Marathi": "मराठी"
+    }
+    
+    # Get language keyword if available
+    lang_keyword = language_keywords.get(language, language)
+    
+    # Add language to search query if it's not English
+    search_query = f"{topic} {lang_keyword} {search_date}" if language != "English" else f"{topic} {search_date}"
+    
+    # DuckDuckGo search
+    ddg_api = DDGS()
+    results = ddg_api.text(search_query, max_results=5)
+    if results:
+        news_results = "\n\n".join([f"Title: {result['title']}\nURL: {result['href']}\nDescription: {result['body']}" for result in results])
+        return news_results
+    else:
+        return f"Could not find news results for {topic} in {language} for {search_date}."
+
+# Create agents
+news_agent = Agent(
+    name="News Agent",
+    instructions="You provide the latest news articles for a given topic using DuckDuckGo search. You can search for news in different languages when specified.",
+    tools=[get_news_articles],
+    model=model
+)
+
+editor_agent = Agent(
+     name="Editor Assistant",
+     instructions="Rewrite and give me a news article ready for publishing. Each news story should be in a separate section. Maintain the original language of the news stories. If the content is in a language other than English, edit and format in that same language.",
+     model=model
+)
+
+# Workflow function for Gradio
+def fetch_and_edit_news(topic, language, search_date):
+    # Step 1: Run the news agent
+    news_result = Runner.run_sync(
+        news_agent,
+        f"Get me the news about {topic} in {language} for date {search_date}")
+    
+    raw_news = news_result.final_output
+    
+    # Step 2: Pass news to editor for final review
+    editor_news_response = Runner.run_sync(
+        editor_agent,
+        f"Please edit the following news in {language} language. Maintain the original language: \n\n{raw_news}")
+    
+    edited_news = editor_news_response.final_output
+    
+    return edited_news
+
+# Create Gradio interface
+with gr.Blocks(title="Multilingual AI News Generator") as demo:
+    gr.Markdown("# Multilingual AI News Generator")
+    gr.Markdown("Enter a topic, select a language, and choose a date to receive curated and edited news articles")
+    
+    with gr.Row():
+        topic_input = gr.Textbox(label="News Topic", placeholder="Enter a topic (e.g., AI, Climate Change, Sports)")
+        language_dropdown = gr.Dropdown(
+            choices=[
+                "English", "Hindi", "Spanish", "French", "German", 
+                "Japanese", "Chinese", "Russian", "Arabic", "Portuguese",
+                "Italian", "Dutch", "Korean", "Turkish", "Kannada",
+                "Tamil", "Telugu", "Bengali", "Marathi"
+            ],
+            label="Language",
+            value="English"
+        )
+        date_picker = gr.Textbox(
+            label="Search Date",
+            placeholder="YYYY-MM-DD",
+            value=default_date
+        )
+        submit_btn = gr.Button("Generate News Article")
+    
+    output_box = gr.Textbox(label="Generated News Article", lines=20)
+    
+    submit_btn.click(
+        fn=fetch_and_edit_news,
+        inputs=[topic_input, language_dropdown, date_picker],
+        outputs=output_box
+    )
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio>=4.0.0
+duckduckgo-search>=1.5.0
+openai>=1.0.0
+openai-agents>=0.1.0
+datetime
+python-dotenv>=1.0.0