Update app.py

app.py

@@ -53,100 +53,100 @@
 
 
 ################################################### Approach 2
-# import streamlit as st
+import streamlit as st
 
-# def collect_feedback():
-#     st.title("Feedback Collection App")
+def collect_feedback():
+    st.title("Feedback Collection App")
 
-#     # Display thumbs up/down buttons for feedback
-#     feedback = st.radio("Was this helpful?", ('👍', '👎'))
+    # Display thumbs up/down buttons for feedback
+    feedback = st.radio("Was this helpful?", ('👍', '👎'))
 
-#     # Text input for comments
-#     comments = st.text_area("Please provide any comments or suggestions:")
+    # Text input for comments
+    comments = st.text_area("Please provide any comments or suggestions:")
 
-#     if st.button("Submit"):
-#         if feedback == '👍':
-#             st.success("Thank you for your positive feedback!")
-#         elif feedback == '👎':
-#             st.error("We're sorry to hear that. Please let us know how we can improve.")
+    if st.button("Submit"):
+        if feedback == '👍':
+            st.success("Thank you for your positive feedback!")
+        elif feedback == '👎':
+            st.error("We're sorry to hear that. Please let us know how we can improve.")
         
-#         # Do something with the feedback and comments (e.g., save to a database)
-#         # For now, just print them
-#         st.write("Feedback:", feedback)
-#         st.write("Comments:", comments)
+        # Do something with the feedback and comments (e.g., save to a database)
+        # For now, just print them
+        st.write("Feedback:", feedback)
+        st.write("Comments:", comments)
 
-# if __name__ == "__main__":
-#     collect_feedback()
+if __name__ == "__main__":
+    collect_feedback()
 
 
 
 
 
 ################################################### Approach 3
-import streamlit as st
-from datasets import Dataset, load_dataset, concatenate_datasets
-from st_img_pastebutton import paste
-from io import BytesIO
-import base64
+# import streamlit as st
+# from datasets import Dataset, load_dataset, concatenate_datasets
+# from st_img_pastebutton import paste
+# from io import BytesIO
+# import base64
 
-from huggingface_hub import login, HfFolder
-import os
+# from huggingface_hub import login, HfFolder
+# import os
 
-# Set the token
-token = os.getenv("HF_TOKEN")  # Replace "YOUR_AUTHENTICATION_TOKEN" with your actual token
+# # Set the token
+# token = os.getenv("HF_TOKEN")  # Replace "YOUR_AUTHENTICATION_TOKEN" with your actual token
 
-# Login using the token
+# # Login using the token
 
-login(token=token)
+# login(token=token)
 
-# Function to push feedback data to Hugging Face Hub dataset
-def push_to_dataset(feedback, comments, image):
-    # Load existing dataset or create a new one if it doesn't exist
-    try:
-        ds = load_dataset("YashB1/Feedbacks_vf", split="evaluation")
-    except FileNotFoundError:
-        # If dataset doesn't exist, create a new one
-        ds = Dataset.from_dict({"feedback": [], "comments": [], "image": []})
+# # Function to push feedback data to Hugging Face Hub dataset
+# def push_to_dataset(feedback, comments, image):
+#     # Load existing dataset or create a new one if it doesn't exist
+#     try:
+#         ds = load_dataset("YashB1/Feedbacks_vf", split="evaluation")
+#     except FileNotFoundError:
+#         # If dataset doesn't exist, create a new one
+#         ds = Dataset.from_dict({"feedback": [], "comments": [], "image": []})
 
-    # Add new feedback to the dataset
-    new_data = {"feedback": [feedback], "comments": [comments], "image": [image]}  # Convert feedback and comments to lists
-    new_data = Dataset.from_dict(new_data)  
+#     # Add new feedback to the dataset
+#     new_data = {"feedback": [feedback], "comments": [comments], "image": [image]}  # Convert feedback and comments to lists
+#     new_data = Dataset.from_dict(new_data)  
 
-    ds = concatenate_datasets([ds, new_data])
+#     ds = concatenate_datasets([ds, new_data])
 
-    # Push the updated dataset to Hugging Face Hub
-    ds.push_to_hub("YashB1/Feedbacks_vf", split="evaluation")
+#     # Push the updated dataset to Hugging Face Hub
+#     ds.push_to_hub("YashB1/Feedbacks_vf", split="evaluation")
 
-def main():
-    st.header("Feedback and Image Upload Example")
-    st.write("Provide feedback using thumbs up or thumbs down, then upload an image, and add comments.")
+# def main():
+#     st.header("Feedback and Image Upload Example")
+#     st.write("Provide feedback using thumbs up or thumbs down, then upload an image, and add comments.")
 
-    # Feedback section
-    feedback = st.radio("Feedback:", options=["Thumbs Up 👍", "Thumbs Down 👎"])
+#     # Feedback section
+#     feedback = st.radio("Feedback:", options=["Thumbs Up 👍", "Thumbs Down 👎"])
 
-    # Image upload section
-    st.write("Click the button below to upload an image.")
-    image_data = paste(key="image_clipboard", label="Upload Image")
-    if image_data is not None:
-        header, encoded = image_data.split(",", 1)
-        binary_data = base64.b64decode(encoded)
-        bytes_data = BytesIO(binary_data)
-        st.image(bytes_data, caption="Uploaded Image", use_column_width=True)
-    else:
-        st.write("No image uploaded yet.")
+#     # Image upload section
+#     st.write("Click the button below to upload an image.")
+#     image_data = paste(key="image_clipboard", label="Upload Image")
+#     if image_data is not None:
+#         header, encoded = image_data.split(",", 1)
+#         binary_data = base64.b64decode(encoded)
+#         bytes_data = BytesIO(binary_data)
+#         st.image(bytes_data, caption="Uploaded Image", use_column_width=True)
+#     else:
+#         st.write("No image uploaded yet.")
 
-    # Comments section
-    comments = st.text_area("Comments:")
+#     # Comments section
+#     comments = st.text_area("Comments:")
 
-    # Button to submit feedback, image, and comments
-    if st.button("Submit"):
-        if feedback and comments.strip() and image_data:
-            # Convert image_data to string
-            image_data_str = str(image_data)
-            push_to_dataset(feedback, comments, image_data_str)
-            st.success("Feedback submitted successfully!")
-        else:
-            st.error("Please provide feedback, comments, and upload an image.")
+#     # Button to submit feedback, image, and comments
+#     if st.button("Submit"):
+#         if feedback and comments.strip() and image_data:
+#             # Convert image_data to string
+#             image_data_str = str(image_data)
+#             push_to_dataset(feedback, comments, image_data_str)
+#             st.success("Feedback submitted successfully!")
+#         else:
+#             st.error("Please provide feedback, comments, and upload an image.")
 
-if __name__ == "__main__":
-    main()
+# if __name__ == "__main__":
+#     main()