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Update app.py
Browse files
app.py
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import gradio as gr
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import google.generativeai as genai
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from
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import requests
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from bs4 import BeautifulSoup
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import time
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import json
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from typing import List, Dict, Any
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# Search the web for relevant information using DuckDuckGo
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def web_search(query: str, max_results: int = 10) -> List[Dict[str, str]]:
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"""Search the web for relevant information using DuckDuckGo"""
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try:
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with DDGS() as ddgs:
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-
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return results
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except Exception as e:
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print(f"Search error: {e}")
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# Fetch and extract content from a URL
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def fetch_url_content(url: str) -> str:
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@@ -87,11 +128,15 @@ def perform_research(query: str, max_sources: int = 5) -> Dict[str, Any]:
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def generate_research_report(research_data: Dict[str, Any], gemini_api_key: str) -> str:
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"""Generate a comprehensive research report using Gemini"""
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if not gemini_api_key:
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return "Gemini API key is required to generate the report."
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try:
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# Initialize Gemini
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genai.configure(api_key=gemini_api_key)
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model = genai.GenerativeModel('gemini-2.0-flash')
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prompt = f"""
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response = model.generate_content(prompt)
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return response.text
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except Exception as e:
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# Main research function
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def run_research(topic: str, gemini_api_key: str):
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"""Run the complete research process"""
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if not gemini_api_key:
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return "Please enter your Gemini API key.", None, gr.update(visible=False)
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-
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try:
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# Perform research
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research_data = perform_research(topic)
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if not research_data['sources']:
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return "No relevant sources found. Please try a different search term.", None, gr.update(visible=False)
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# Generate report
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report = generate_research_report(research_data, gemini_api_key)
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return report, filename, gr.update(visible=True)
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except Exception as e:
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error_msg = f"An error occurred: {str(e)}"
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return error_msg, None, gr.update(visible=False)
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# Gradio interface
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gr.Markdown("# 📘 Gemini Deep Research Agent")
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gr.Markdown("This agent performs deep research on any topic using Google's Gemini and DuckDuckGo search")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("## API Configuration")
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gemini_key = gr.Textbox(
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label="Gemini API Key",
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type="password",
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placeholder="Enter your Gemini API key (
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)
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with gr.Column(scale=2):
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research_topic = gr.Textbox(
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label="Research Topic",
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placeholder="e.g., Latest developments in AI",
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lines=2
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)
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research_btn = gr.Button("Start Research", variant="primary")
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output = gr.Markdown(
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label="Research Report",
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)
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download_btn = gr.DownloadButton(
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"Download Report",
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visible=False
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)
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#
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research_btn.click(
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fn=run_research,
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inputs=[research_topic, gemini_key],
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# Main execution
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if __name__ == "__main__":
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demo = create_interface()
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demo.launch()
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import gradio as gr
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import google.generativeai as genai
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from ddgs import DDGS
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import requests
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from bs4 import BeautifulSoup
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import time
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import json
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from typing import List, Dict, Any
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# Validate Gemini API key
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def validate_api_key(api_key: str) -> tuple[bool, str]:
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"""Validate if the Gemini API key is working"""
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if not api_key or not api_key.strip():
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return False, "API key is empty. Please enter a valid Gemini API key."
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if not api_key.startswith('AI'):
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return False, "Invalid API key format. Gemini API keys should start with 'AI'."
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try:
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# Test the API key with a simple request
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genai.configure(api_key=api_key.strip())
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model = genai.GenerativeModel('gemini-2.0-flash')
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# Try a minimal test generation
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response = model.generate_content("Hello")
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return True, "API key is valid."
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except Exception as e:
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error_msg = str(e).lower()
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if "api key not valid" in error_msg or "api_key_invalid" in error_msg:
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return False, "Invalid API key. Please check your Gemini API key and try again."
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elif "quota" in error_msg:
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return False, "API quota exceeded. Please check your Gemini API usage limits."
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elif "permission" in error_msg:
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return False, "API key doesn't have required permissions. Please check your API key settings."
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else:
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return False, f"API key validation failed: {str(e)}"
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# Search the web for relevant information using DuckDuckGo
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def web_search(query: str, max_results: int = 10) -> List[Dict[str, str]]:
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"""Search the web for relevant information using DuckDuckGo"""
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try:
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with DDGS() as ddgs:
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# Add timeout and retry logic
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results = []
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for result in ddgs.text(query, max_results=max_results):
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results.append(result)
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if len(results) >= max_results:
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break
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return results
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except Exception as e:
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print(f"Search error: {e}")
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# Try with a simpler approach if the first fails
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try:
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=min(max_results, 5)))
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return results
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except Exception as e2:
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print(f"Retry search error: {e2}")
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return []
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# Fetch and extract content from a URL
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def fetch_url_content(url: str) -> str:
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def generate_research_report(research_data: Dict[str, Any], gemini_api_key: str) -> str:
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"""Generate a comprehensive research report using Gemini"""
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if not gemini_api_key:
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return "❌ Gemini API key is required to generate the report."
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# Validate API key first
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is_valid, validation_message = validate_api_key(gemini_api_key)
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if not is_valid:
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return f"❌ {validation_message}"
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try:
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# Initialize Gemini (already configured in validation)
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model = genai.GenerativeModel('gemini-2.0-flash')
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prompt = f"""
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response = model.generate_content(prompt)
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return response.text
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except Exception as e:
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error_msg = str(e).lower()
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if "api key not valid" in error_msg or "api_key_invalid" in error_msg:
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return "❌ Invalid API key. Please check your Gemini API key and try again."
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elif "quota" in error_msg:
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return "❌ API quota exceeded. Please check your Gemini API usage limits."
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elif "permission" in error_msg:
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return "❌ API key doesn't have required permissions. Please check your API key settings."
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else:
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return f"❌ Error generating report: {str(e)}"
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# Main research function
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def run_research(topic: str, gemini_api_key: str):
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"""Run the complete research process"""
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if not gemini_api_key.strip():
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return "❌ Please enter your Gemini API key.", None, gr.update(visible=False)
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if not topic.strip():
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return "❌ Please enter a research topic.", None, gr.update(visible=False)
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# First validate the API key
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is_valid, validation_message = validate_api_key(gemini_api_key)
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if not is_valid:
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return f"❌ {validation_message}", None, gr.update(visible=False)
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try:
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# Perform research
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research_data = perform_research(topic)
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if not research_data['sources']:
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return "❌ No relevant sources found. Please try a different search term.", None, gr.update(visible=False)
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# Generate report
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report = generate_research_report(research_data, gemini_api_key)
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return report, filename, gr.update(visible=True)
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except Exception as e:
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error_msg = f"❌ An error occurred: {str(e)}"
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return error_msg, None, gr.update(visible=False)
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# Gradio interface
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gr.Markdown("# 📘 Gemini Deep Research Agent")
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gr.Markdown("This agent performs deep research on any topic using Google's Gemini and DuckDuckGo search")
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# Add API key help section
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with gr.Accordion("🔑 How to get your Gemini API Key", open=False):
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gr.Markdown("""
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1. Visit [Google AI Studio](https://aistudio.google.com/)
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2. Sign in with your Google account
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3. Click "Get API Key"
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4. Create a new API key
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5. Copy and paste it below
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**Note:** Your API key should start with "AI" and be kept secure.
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""")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("## API Configuration")
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gemini_key = gr.Textbox(
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label="Gemini API Key",
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type="password",
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placeholder="Enter your Gemini API key (starts with 'AI')",
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info="Get your free API key from https://aistudio.google.com/"
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)
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# Add API key validation button
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validate_btn = gr.Button("🔍 Validate API Key", size="sm")
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validation_output = gr.Textbox(
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label="Validation Status",
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interactive=False,
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visible=False
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with gr.Column(scale=2):
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research_topic = gr.Textbox(
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label="Research Topic",
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placeholder="e.g., Latest developments in AI, Climate change solutions, Cryptocurrency trends",
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lines=2
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research_btn = gr.Button("🚀 Start Research", variant="primary")
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output = gr.Markdown(
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label="Research Report",
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download_btn = gr.DownloadButton(
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"📥 Download Report",
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visible=False
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)
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# API key validation function
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def validate_key(api_key):
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if not api_key:
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return gr.update(visible=True, value="❌ Please enter an API key"), gr.update()
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is_valid, message = validate_api_key(api_key)
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if is_valid:
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return gr.update(visible=True, value=f"✅ {message}"), gr.update()
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else:
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return gr.update(visible=True, value=f"❌ {message}"), gr.update()
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# Set up the validation button
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validate_btn.click(
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fn=validate_key,
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inputs=[gemini_key],
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outputs=[validation_output, validation_output]
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)
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# Set up the research button
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research_btn.click(
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fn=run_research,
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inputs=[research_topic, gemini_key],
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# Main execution
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if __name__ == "__main__":
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demo = create_interface()
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demo.launch()
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