Create app.py

app.py

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+import gradio as gr
+from gradio_client import Client
+from bs4 import BeautifulSoup
+import os
+
+# Initialize the client for the OpenResearcher space
+client = Client("OpenResearcher/OpenResearcher")
+
+def research_topic(question):
+    # 1. Get the API Key from Hugging Face Secrets (Environment Variables)
+    # If testing locally, you can replace os.getenv with your actual string, 
+    # but for HF Spaces, use the Secret to keep it safe.
+    api_key = os.getenv("SERPER_KEY") 
+    
+    if not api_key:
+        return "Error: SERPER_KEY not found in Environment Variables. Please add it in Space Settings."
+
+    print(f"Researching: {question}...")
+    
+    try:
+        # 2. Call the OpenResearcher API
+        result = client.predict(
+            question=question,
+            serper_key=api_key,
+            max_rounds=50,
+            api_name="/start_research"
+        )
+        
+        # The API returns [user_input, full_html_log] at indices 0 and 1
+        raw_html = result[1]
+        
+        # 3. Parse the HTML to find only the "answer-section"
+        soup = BeautifulSoup(raw_html, 'html.parser')
+        
+        # Look for the div containing the final conclusion
+        answer_section = soup.find('div', class_='answer-section')
+        
+        if answer_section:
+            # Return the clean HTML
+            return str(answer_section)
+        else:
+            # Fallback: Sometimes the API fails or returns a different format
+            return f"<div>Could not extract a final answer. Raw output length: {len(raw_html)} characters.</div>"
+
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# 4. Create the Gradio Interface
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🧠 Deep Search Conclusion Generator")
+    gr.Markdown("Enter a question. This app searches the web using OpenResearcher and filters out the thinking process to give you **only the final result**.")
+    
+    with gr.Row():
+        inp = gr.Textbox(label="Your Question", placeholder="e.g. Top 10 Closest Black Holes to Earth")
+        btn = gr.Button("Start Research", variant="primary")
+    
+    # HTML component renders the links and bold text correctly
+    out = gr.HTML(label="Final Conclusion")
+    
+    btn.click(fn=research_topic, inputs=inp, outputs=out)
+
+if __name__ == "__main__":
+    demo.launch()