Update app.py

app.py

@@ -38,30 +38,6 @@ def call_llm(messages, model="deepseek/deepseek-chat-v3-0324:free", max_tokens=3
         raise RuntimeError(result.get("error", {}).get("message", "LLM API error"))
     return result["choices"][0]["message"]["content"]
 
-def get_related_images(topic, num_images=3):
-    prompt = f"You are an AI trained to return ONLY direct image links from trusted sources like Wikimedia Commons or Unsplash.Give exactly {num_images} raw image URLs (ending in .jpg, .png, or .webp) related to the topic: '{topic}'.Each link should be on a new line, with NO additional text. Start with http."
-    try:
-        content = call_llm([{"role": "user", "content": prompt}], model="deepseek/deepseek-chat-v3-0324:free")
-        urls = [line.strip() for line in content.split('\n') if line.strip().startswith("http") and any(ext in line for ext in ['.jpg', '.jpeg', '.png', '.webp'])]
-        return urls[:num_images]
-    except Exception as e:
-        print("Error fetching images:", e)
-        return []
-
-def display_and_download_images(image_urls):
-    st.markdown("### 🔍 Related Images")
-    for idx, url in enumerate(image_urls):
-        try:
-            response = requests.get(url)
-            if response.status_code == 200:
-                img = Image.open(BytesIO(response.content))
-                st.image(img, caption=f"Image {idx + 1}", use_column_width=True)
-                b64_img = base64.b64encode(response.content).decode()
-                href = f'<a href="data:image/png;base64,{b64_img}" download="image_{idx + 1}.png">📥 Download Image {idx + 1}</a>'
-                st.markdown(href, unsafe_allow_html=True)
-        except Exception as e:
-            st.warning(f"Failed to load image {idx + 1} from {url}")
-
 def get_sources(topic, domains=None):
     query = topic
     if domains: