init

.gitignore

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+.venv
+.devcontainer

README.md

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 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+We are using this to evaluate our intelligent tutor. Please provide feedback on the bot's response to your question.

app.py

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+import gradio as gr
+import pandas as pd
+import gspread
+from google.auth import default
+import requests
+import time
+import json
+import re
+
+# Authenticate and authorize with Google Sheets
+# creds, _ = default()
+# gc = gspread.authorize(creds)
+gc = gspread.service_account(filename="botresponse-6f1a8c749aa0.json")
+
+# Specify your Google Sheets credentials, sheet_id, and worksheet_name
+sheet_id = "18hnoTsEaGMWMael42MXubb-FzAe5jJB5RpaSolIXyb0"
+worksheet_name = "Sheet1"
+
+
+# Function to get the initial response
+def get_initial_response(input_message):
+    url = "https://itell-api.learlab.vanderbilt.edu/chat"
+
+    payload = {"textbook_name": "think-python-2e", "message": input_message}
+    headers = {"Content-Type": "application/json"}
+
+    # Measure the start time
+    start_time = time.time()
+
+    response = requests.post(url, json=payload, headers=headers)
+    data = json.loads(response.text)
+    message = data["message"]
+    message = message.encode("utf-8").decode("unicode_escape")
+    message = re.sub(r"^[\s'\"]*(bot|cite sources)?[\s'\"]*", "", message)
+    message = message.strip(" ':\"")
+
+    # Calculate the elapsed time
+    elapsed_time = time.time() - start_time
+    elapsed_time = round(elapsed_time, 2)
+
+    return {
+        bot_resp: message,
+        response_time: elapsed_time,
+    }
+
+
+# Function to collect feedback and update the spreadsheet
+def feedback_response(
+    input_message,
+    bot_message,
+    response_time,
+    feedback_primary,
+    feedback_secondary,
+    comments,
+):
+    # Update Google Sheets
+    sh = gc.open_by_key(sheet_id)
+    worksheet = sh.worksheet(worksheet_name)
+
+    # Create a DataFrame from the response and additional comments
+    df = pd.DataFrame(
+        {
+            "Input Message": [input_message],
+            "Output": [bot_message],
+            "Time took in Seconds": [response_time],
+            "Initial Feedback": [feedback_primary],
+            "Secondary Feedback": [str(feedback_secondary)],
+            "Additional Comments": [comments],
+        }
+    )
+
+    # Append the data to the worksheet
+    worksheet.append_rows(df.values.tolist())
+    gr.Info("Feedback Submitted")
+    return {
+        primary_feedback: None,
+        secondary_feedback: None,
+        additional_comments: None,
+    }
+
+
+with gr.Blocks(title="iTELL Chat Feedback") as feedback_interface:
+    title = "Itell Guide Response Bot"
+    gr.components.Markdown(
+        f"<h1 style='text-align: center; margin-bottom: 1rem'>{title}</h1>"
+    )
+    gr.Markdown(
+        """
+    # Introduction
+    This is an interface to test iTELL's guide on the side. Please be aware that responses can take up to 20 seconds.
+    # Step by Step Introduction
+    1. Place a question in the input message textbox.
+    2. Wait 10 ~ 20 seconds for the response to appear on the right.
+    3. After looking at the results, provide primary feedback on the response.
+    4. If desired, add secondary feedback selections: Informative, Inaccurate, Nonsense.
+    4. Write down additional comments for more feedback.
+    5. Press "Submit Feedback".
+    """
+    )
+    elapsed_time = gr.State(0)
+    with gr.Row():
+        with gr.Column():
+            usr_msg = gr.Textbox(interactive=True, label="Input Message", lines=7)
+            response_time = gr.Number(label="Response Time", step=0.01)
+            bot_resp = gr.Textbox(label="Output", type="text", lines=10)
+            with gr.Row():
+                clear_btn = gr.ClearButton(usr_msg, value="Clear")
+                submit_btn = gr.Button("Submit")
+                # submit_btn.click(get_initial_response, inputs=usr_msg, outputs=bot_resp)
+        with gr.Column():
+            primary_feedback = gr.Radio(
+                ["👍 good", "👎 bad", "❌ inappropriate"], label="Primary Feedback"
+            )
+            secondary_feedback = gr.CheckboxGroup(
+                [
+                    "🧠 Informative",
+                    "🙅 Inaccurate",
+                    "❓ Nonsense",
+                    "🩶 Character Encoding Error",
+                ],
+                label="Secondary Feedback",
+            )
+            additional_comments = gr.Textbox(
+                label="Additional Comments", interactive=True, lines=7
+            )
+            feedback_btn = gr.Button("Submit Feedback")
+            feedback_btn.click(
+                feedback_response,
+                inputs=[
+                    usr_msg,
+                    bot_resp,
+                    response_time,
+                    primary_feedback,
+                    secondary_feedback,
+                    additional_comments,
+                ],
+                outputs=[
+                    primary_feedback,
+                    secondary_feedback,
+                    additional_comments
+                    ],
+            )
+    submit_btn.click(
+        fn=get_initial_response,
+        inputs=usr_msg,
+        outputs=[bot_resp, response_time],
+    )
+
+# Launch the interface
+feedback_interface.launch()

botresponse-6f1a8c749aa0.json

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+{
+    "type": "service_account",
+    "project_id": "botresponse",
+    "private_key_id": "6f1a8c749aa053d284e56189b1755be1ca485963",
+    "private_key": "-----BEGIN PRIVATE KEY-----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\nOvg/P2OQJkKBbb3lz7drYEw=\n-----END PRIVATE KEY-----\n",
+    "client_email": "botresponse@botresponse.iam.gserviceaccount.com",
+    "client_id": "107407555109034862305",
+    "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+    "token_uri": "https://oauth2.googleapis.com/token",
+    "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+    "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/botresponse%40botresponse.iam.gserviceaccount.com",
+    "universe_domain": "googleapis.com"
+  }
+  

requirements.txt

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+gradio >=3.45.0
+gspread