Fix Unsplash bug and improve docs

examples.py

@@ -13,14 +13,17 @@ def app():
         OpenAI's CLIP, our training choices and quality datasets led to impressive results!
         Here, we collected few of **the most impressive text-image associations** learned by our model.
         
-        Remember you can head any time to the **Text to Image** section of the demo to test
-        your own 🤌 Italian 🤌 queries!
+        Remember you can head to the **Text to Image** section of the demo at any time to test your own 🤌 Italian 🤌 queries!
         
         """
     )
 
     st.markdown("### 1. Actors in Scenes")
 
+    st.subheader("una coppia")
+    st.markdown("*a couple*")
+    st.image("static/img/examples/couple_0.jpeg")
+
     col1, col2 = st.beta_columns(2)
     col1.subheader("una coppia con il tramonto sullo sfondo")
     col1.markdown("*a couple with the sunset in the background*")

text2image.py

@@ -184,9 +184,12 @@ def app():
 
         for i, image_url in enumerate(image_paths):
             try:
-                image_raw = requests.get(image_url, stream=True, allow_redirects=True, headers=headers).raw
-                image = Image.open(image_raw).convert("RGB")
-                st.image(image)
+                if dataset_name == "Unsplash":
+                    st.image(image_url)
+                elif dataset_name == "CC":
+                    image_raw = requests.get(image_url, stream=True, allow_redirects=True, headers=headers).raw
+                    image = Image.open(image_raw).convert("RGB")
+                    st.image(image)
                 break
             except (UnidentifiedImageError) as e:
                 if i == N - 1: