Create app.py

app.py

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+import gradio as gr
+from phi.agent import Agent
+from phi.model.groq import Groq
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.tools.newspaper4k import Newspaper4k
+import os
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Access the Groq API key
+groq_api_key = os.getenv("GROQ_API_KEY")
+
+# Create the agent
+agent = Agent(
+    model=Groq(id="llama-3.3-70b-versatile", api_key=groq_api_key),
+    tools=[DuckDuckGo(), Newspaper4k()],
+    description="You are a senior NYT researcher writing an article on a topic.",
+    instructions=[
+        "For a given topic, search for the top 5 links.",
+        "Then read each URL and extract the article text, if a URL isn't available, ignore it.",
+        "Analyse and prepare an NYT worthy article based on the information.",
+    ],
+    markdown=True,
+    show_tool_calls=True,
+    add_datetime_to_instructions=True,
+)
+
+# Function to process input and generate an article
+def generate_article(topic):
+    response = agent.get_response(topic)
+    return response
+
+# Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("# 📰 NYT-Style Article Generator")
+    gr.Markdown(
+        "Enter a topic below, and the app will generate an NYT-style article by searching, extracting, and summarizing information from the web."
+    )
+    
+    with gr.Row():
+        topic_input = gr.Textbox(
+            label="Enter Topic", placeholder="e.g., Simulation Theory", lines=1
+        )
+        generate_button = gr.Button("Generate Article")
+    
+    output_text = gr.Markdown(label="Generated Article")
+    
+    generate_button.click(fn=generate_article, inputs=topic_input, outputs=output_text)
+
+# Run the app
+if __name__ == "__main__":
+    app.launch()