app.py

################################################## Approach 1
import streamlit as st
import json
import os

# Function to load existing feedback from a JSON file
def load_feedback(filename):
    if os.path.exists(filename):
        with open(filename, 'r') as file:
            return json.load(file)
    else:
        return {'thumbs_up': 0, 'thumbs_down': 0, 'comments': []}

# Function to save feedback to a JSON file
def save_feedback(feedback, filename):
    with open(filename, 'w') as file:
        json.dump(feedback, file)

# File to store feedback
feedback_filename = "feedback.json"

# Load existing feedback
feedback = load_feedback(feedback_filename)

# Display thumbs up/down buttons
if st.button("👍 Thumbs Up"):
    feedback['thumbs_up'] += 1
    save_feedback(feedback, feedback_filename)
    st.success("Thanks for your feedback!")

if st.button("👎 Thumbs Down"):
    feedback['thumbs_down'] += 1
    save_feedback(feedback, feedback_filename)
    st.error("We're sorry to hear that. Please reach out to us for further assistance.")

# Comments section
st.header("Comments")
comment = st.text_area("Leave your comment here:")
if st.button("Submit Comment"):
    feedback['comments'].append(comment)
    save_feedback(feedback, feedback_filename)
    st.success("Your comment has been submitted!")

# Display current feedback
st.write("Current Feedback:")
st.write(f"👍 Thumbs Up: {feedback['thumbs_up']}")
st.write(f"👎 Thumbs Down: {feedback['thumbs_down']}")
st.write("Comments:")
for c in feedback['comments']:
    st.write(c)




################################################### Approach 2
# import streamlit as st

# def collect_feedback():
#     st.title("Feedback Collection App")

#     # 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:")

#     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)

# 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

# from huggingface_hub import login, HfFolder
# import os

# # Set the token
# token = os.getenv("HF_TOKEN")  # Replace "YOUR_AUTHENTICATION_TOKEN" with your actual token

# # Login using the 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": []})

#     # 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])

#     # 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.")

#     # 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.")

#     # 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.")

# if __name__ == "__main__":
#     main()