Update app.py

app.py

@@ -2,17 +2,14 @@ import gradio as gr
 import requests
 import random
 import time
-from PIL import Image
-import io
+from transformers import pipeline
 
-def get_random_placeholder_image():
-    
-    response = requests.get("https://picsum.photos/400")
-    return Image.open(io.BytesIO(response.content))
+
+classifier = pipeline("zero-shot-classification")
 
 def get_wikipedia_facts(topic):
     if not topic.strip():
-        return "Please enter a topic or use 'Surprise me!'", None
+        return "Please enter a topic or use 'Surprise me!'", None, None
 
     headers = {
         "User-Agent": "RandomFactApp/3.0 (https://huggingface.co/spaces/yourname) Python requests"
@@ -28,7 +25,7 @@ def get_wikipedia_facts(topic):
     }
 
     try:
-        
+     
         search_response = requests.get(search_url, params=search_params, headers=headers)
         time.sleep(0.3)
         search_response.raise_for_status()
@@ -36,18 +33,20 @@ def get_wikipedia_facts(topic):
 
         search_hits = search_data.get("query", {}).get("search", [])
         if not search_hits:
-            return f"Sorry, no information found for '{topic}'.", None
+            return f"Sorry, no information found for '{topic}'.", None, None
 
         best_title = search_hits[0]["title"]
 
-        
+       
         extract_params = {
             "action": "query",
             "format": "json",
-            "prop": "extracts",
+            "prop": "extracts|pageimages",
             "exintro": True,
             "explaintext": True,
-            "titles": best_title
+            "titles": best_title,
+            "piprop": "thumbnail",
+            "pithumbsize": 400
         }
 
         extract_response = requests.get(search_url, params=extract_params, headers=headers)
@@ -60,53 +59,7 @@ def get_wikipedia_facts(topic):
         extract_text = page.get("extract", "")
 
         if not extract_text:
-            return f"Sorry, no extract found for '{topic}'.", None
+            return f"Sorry, no extract found for '{topic}'.", None, None
 
         
-        sentences = [s.strip() for s in extract_text.replace("\n", " ").split(". ") if s.strip()]
-        if len(sentences) == 0:
-            return f"Sorry, no facts available for '{topic}'.", None
-
-        
-        num_facts = min(3, len(sentences))
-        facts = random.sample(sentences, num_facts)
-
-       
-        facts = [fact if fact.endswith(".") else fact + "." for fact in facts]
-
-        facts_text = "\n\n".join(f"💡 {fact}" for fact in facts)
-
-     
-        image = get_random_placeholder_image()
-
-        return facts_text, image
-
-    except Exception as e:
-        print("Error:", e)
-        return "Oops! Something went wrong while fetching your facts.", None
-
-
-random_topics = [
-    "cats", "space", "chocolate", "Egypt", "Leonardo da Vinci",
-    "volcanoes", "Tokyo", "honeybees", "quantum physics", "orcas"
-]
-
-def surprise_topic(_):
-    topic = random.choice(random_topics)
-    return get_wikipedia_facts(topic)
-
-with gr.Blocks() as demo:
-    gr.Markdown("## 🤖 Topic-based Facts + Placeholder Image\nEnter a topic or click 'Surprise me!' for 3 distinct facts and a random image!")
-
-    with gr.Row():
-        topic_input = gr.Textbox(placeholder="Enter a topic like 'koalas' or 'Eiffel Tower'")
-        surprise_button = gr.Button("🎲 Surprise me!")
-
-    facts_output = gr.Textbox(label="3 Distinct Wikipedia Facts")
-    image_output = gr.Image(label="Random Image")
-
-    topic_input.submit(get_wikipedia_facts, inputs=topic_input, outputs=[facts_output, image_output])
-    surprise_button.click(surprise_topic, inputs=None, outputs=[facts_output, image_output])
 
-if __name__ == "__main__":
-    demo.launch()