Update app.py

app.py

@@ -1,3 +1,69 @@
+Toxic (1):
+Appreciation (2):
+Constructive Criticism (3):
+Genuine Questions (4):
+Advice/Suggestions (5):
+Requests (6):
+Spam (7):
+Off-Topic (8):
+Engagement Boosters (9):
+Neutral/General (10):
+Hate (11):
+
+00000000010
+
+Prompt for AI Agent:
+
+You are tasked with labeling text data based on both emotion temperature and text type categories. The final output must be a 13-character code that consists of the following structure:
+
+Emotion Temperature Code (2 characters):
+
+If the emotion is purely Cold: Use CC
+If the emotion is purely Warm: Use WW
+If the emotion is purely Hot: Use HH
+If the emotion is a mix, use one of the following:
+Cold and Warm: Use CW
+Warm and Hot: Use WH
+Cold and Hot: Use CH
+Text Type Codes (next 9 digits):
+Assign a digit for each of the following categories based on the presence in the text. Use 0 for categories not applicable:
+
+1: Toxic
+2: Appreciation
+3: Constructive Criticism
+4: Genuine Questions
+5: Advice/Suggestions
+6: Requests
+7: Spam
+8: Off-Topic
+9: Engagement Boosters
+Special Categories (last 2 digits):
+
+If the text is Neutral/General: Set the 10th digit to 1; otherwise, set it to 0.
+If the text contains Hate: Set the last digit (11th) to 1; otherwise, set it to 0.
+Example:
+For the text "I love your videos but still something is missing":
+
+Emotion: Cold and Warm (CW)
+Types Detected: 2 (Appreciation), 3 (Constructive Criticism), 5 (Advice/Suggestions)
+Special Categories: Neutral/General (set the 10th digit to 1), no Hate
+The output would be: CW02305000010
+
+Output Format:
+Always return a only 13-character code following this structure.
+
+am getting this error "ImportError: cannot import name 'main' from partially initialized module 'data_labelling' (most likely due to a circular import) (/home/user/app/data_labelling.py)
+Traceback:
+File "/usr/local/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/exec_code.py", line 85, in exec_func_with_error_handling
+    result = func()
+File "/usr/local/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 576, in code_to_exec
+    exec(code, module.__dict__)
+File "/home/user/app/app.py", line 7, in <module>
+    from data_labelling import label_dataset
+File "/home/user/app/data_labelling.py", line 3, in <module>
+    from data_labelling import main as label_data" also i forget mention one more thing , I need a option to select which are the Columns needs to labelled and that column name , these two options Needs to be asked 
+
+
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -50,8 +116,8 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(
-            value="""You are tasked with labeling text data based on both emotion temperature and text type categories. The final output must be a 13-character code that consists of the following structure:
-
+            value="You are tasked with labeling text data based on both emotion temperature and text type categories. The final output must be a 13-character code that consists of the following structure",
+            label="""
 1. Emotion Temperature Code (2 characters):
    - If the emotion is purely Cold: Use CC
    - If the emotion is purely Warm: Use WW
@@ -87,7 +153,6 @@ The output would be: CW02305000010
 
 Output Format:
 Always return a 13-character code following this structure.""",
-            label="Instruction",
             lines=10,
         ),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),