Update app.py

app.py

@@ -1,29 +1,31 @@
-# import streamlit as st
-# from transformers import pipeline
+import streamlit as st
+from transformers import pipeline
 
-# pipe = pipeline('sentiment-analysis')
-# text= st.text_area('enter some text')
+pipe = pipeline('sentiment-analysis')
+text= st.text_area('enter some text')
 
-# if st.button('Submit'):
-#     if text:
-#         out = pipe(text)
-#         st.write(out)
+if st.button('Submit'):
+    if text:
+        out = pipe(text)
+        st.write(out)
 
-import streamlit as st
-from diffusers import DiffusionPipeline
-
-# Load the stable-diffusion-2-1 model from diffusers
-pipeline = DiffusionPipeline.from_pretrained("stabilityai/sd-turbo")
+# import streamlit as st
+# from diffusers import DiffusionPipeline
 
-# Get input text from the user
-text_input = st.text_area('Enter some text')
+# # Load the stable-diffusion-2-1 model from diffusers
+# pipeline = DiffusionPipeline.from_pretrained("stabilityai/sd-turbo")
 
-# Add a submit button
-if st.button('Generate Image'):
-    if text_input:
-        # Generate the image using the model
-        generated_image = pipeline(text_input)
+# # Get input text from the user
+# text_input = st.text_area('Enter some text')
 
-        # Display the generated image
-        st.image(generated_image, caption='Generated Image', use_column_width=True)
+# # Add a submit button
+# if st.button('Generate Image'):
+#     if text_input:
+#         try:
+#             # Generate the image using the model
+#             generated_image = pipeline(text_input)
 
+#             # Display the generated image
+#             st.image(generated_image, caption='Generated Image', use_column_width=True)
+#         except Exception as e:
+#             st.error(f"An error occurred: {e}")