Create app.py

app.py

@@ -0,0 +1,112 @@
+import streamlit as st
+import random
+import pandas as pd
+from datetime import datetime
+
+# Load or initialize CSVs for logging interactions and survey responses
+try:
+    interactions_df = pd.read_csv("interactions.csv")
+except FileNotFoundError:
+    interactions_df = pd.DataFrame(columns=["timestamp", "participant_id", "chatbot_type", "interaction", "response"])
+
+try:
+    survey_df = pd.read_csv("survey_responses.csv")
+except FileNotFoundError:
+    survey_df = pd.DataFrame(columns=["timestamp", "participant_id", "chatbot_type", "emotional_response", "feedback"])
+
+# Initialize session state for participant assignment and interactions
+if "participant_id" not in st.session_state:
+    st.session_state.participant_id = str(random.randint(1000, 9999))
+
+if "chatbot_type" not in st.session_state:
+    st.session_state.chatbot_type = random.choice(["Positive", "Critical"])
+
+if "idea_count" not in st.session_state:
+    st.session_state.idea_count = 0
+
+# Display Welcome Message
+st.title("Welcome to the Chatbot Study")
+st.write("""
+    Thank you for participating in our study. You will interact with a chatbot 
+    and brainstorm ideas for a marketing campaign. Please press "Start" below to begin.
+""")
+
+if st.button("Start Study") or "start" in st.session_state:
+    st.session_state.start = True
+
+# Chatbot Interaction Section
+if "start" in st.session_state:
+    st.subheader("Chatbot Interaction")
+
+    # Display participant information and assigned chatbot type
+    st.write(f"Participant ID: {st.session_state.participant_id}")
+    st.write(f"Assigned Chatbot Type: {st.session_state.chatbot_type}")
+
+    # Pre-programmed responses for each chatbot type
+    if st.session_state.chatbot_type == "Positive":
+        responses = [
+            "Great idea! I love where you’re going with this.",
+            "Awesome suggestion! Here’s another thought: what if we add a new twist?",
+            "You're on fire! That’s a really promising direction.",
+            "Keep up the creativity! This is really going somewhere.",
+        ]
+    else:
+        responses = [
+            "I don’t think that will work very well. Maybe try something different?",
+            "Are you sure about that idea? It seems a bit weak.",
+            "This doesn’t sound very innovative. Try another angle.",
+            "Not quite there yet. What else do you have in mind?",
+        ]
+
+    # User input for submitting an idea
+    user_input = st.text_input("Enter your idea here:")
+
+    if st.button("Submit Idea"):
+        if st.session_state.idea_count < 10:
+            response = random.choice(responses)
+            st.write(f"Chatbot: {response}")
+            
+            # Record the interaction
+            interaction_data = {
+                "timestamp": datetime.now(),
+                "participant_id": st.session_state.participant_id,
+                "chatbot_type": st.session_state.chatbot_type,
+                "interaction": user_input,
+                "response": response
+            }
+            interactions_df = interactions_df.append(interaction_data, ignore_index=True)
+            interactions_df.to_csv("interactions.csv", index=False)
+
+            # Increment idea count
+            st.session_state.idea_count += 1
+            st.write(f"Ideas Submitted: {st.session_state.idea_count}/10")
+        else:
+            st.warning("You have reached the maximum of 10 ideas.")
+
+    # Option to end interaction and proceed to the survey
+    if st.button("Proceed to Survey"):
+        st.session_state.end_interaction = True
+
+# Survey Page
+if "end_interaction" in st.session_state:
+    st.subheader("Post-Interaction Survey")
+
+    emotional_response = st.radio(
+        "How did interacting with the chatbot make you feel?", 
+        ("Very Positive", "Positive", "Neutral", "Negative", "Very Negative")
+    )
+    feedback = st.text_area("Any feedback on the chatbot interaction?")
+
+    if st.button("Submit Survey"):
+        # Record survey data
+        survey_data = {
+            "timestamp": datetime.now(),
+            "participant_id": st.session_state.participant_id,
+            "chatbot_type": st.session_state.chatbot_type,
+            "emotional_response": emotional_response,
+            "feedback": feedback
+        }
+        survey_df = survey_df.append(survey_data, ignore_index=True)
+        survey_df.to_csv("survey_responses.csv", index=False)
+
+        st.write("Thank you for completing the study! Your responses have been recorded.")