Update app.py

app.py

@@ -47,13 +47,13 @@ def generate_design_ideas(comfort, social_interaction, stressors, privacy, open_
         f"{system_message}\n"
         f"On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal, {alias} rated the following:\n"
         f"Comfort and Well-being: {comfort}\n"
-        f"quality of Social Interaction: {social_interaction}\n"
-        f"absense of overwhelming Environmental Stressors: {stressors}\n"
-        f"quality of Personal Spaces: {privacy}\n"
+        f"Quality of Social Interaction: {social_interaction}\n"
+        f"Absence of overwhelming Environmental Stressors: {stressors}\n"
+        f"Quality of Personal Spaces: {privacy}\n"
         f"Open-ended Question: {open_question}\n"
         f"Detected Image Theme: {image_info['Detected Theme']}\n"
         f"Confidence Score: {image_info['Confidence Score']}\n"
-        f"Please provide innovative environmental psychology design ideas to improve climate and curb climate change, addressing and foster wellness and sustainability {alias} directly."
+        f"Please provide innovative environmental psychology design ideas to improve climate and curb climate change, addressing wellness and sustainability for {alias} directly."
     )
 
     # Generate design ideas using the Hugging Face model
@@ -100,7 +100,7 @@ def analyze_environmental_design(comfort, social_interaction, stressors, privacy
 
     return fig, design_ideas
 
-# Custom CSS for modern design
+# Custom CSS for modern design with footer hidden
 custom_css = """
 body {
     font-family: 'Arial', sans-serif;
@@ -135,18 +135,25 @@ body {
 .gradio-button:hover {
     background-color: #004d40;
 }
+
+/* Hide Gradio footer */
+footer {
+    display: none !important;
+}
 """
+
 # Disclaimer text to include in the description
 disclaimer_text = """
 **Disclaimer**:
 1. This solution was built in only 5 hours with a limited dataset during the training of the CNN, so it may have some biases.
 2. The solution is running on low compute resources, so we recommend using it when there is low traffic to improve performance.
 """
+
 # Create the Gradio interface with custom CSS
 inputs = [
     gr.Slider(minimum=1, maximum=5, step=1, label="On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal. How would you rate your feelings of Comfort and Well-being?"),
     gr.Slider(minimum=1, maximum=5, step=1, label="On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal. How would you rate the quality of your Social Interaction?"),
-    gr.Slider(minimum=1, maximum=5, step=1, label="On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal. How would you rate absense of overwhelming Environmental Stressors like noise in your environment?"),
+    gr.Slider(minimum=1, maximum=5, step=1, label="On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal. How would you rate the absence of overwhelming Environmental Stressors like noise in your environment?"),
     gr.Slider(minimum=1, maximum=5, step=1, label="On a scale of 1-5, with 5 being the most favorable and 1 being the least ideal. How would you rate the quality of your Personal Spaces?"),
     gr.Textbox(placeholder="Describe any environmental challenges or ideas you have.", label="Open-ended Question", lines=3),
     gr.Textbox(placeholder="Enter your alias (e.g., anon).", label="Client Alias", lines=1),  # New input for alias
@@ -163,6 +170,6 @@ gr.Interface(
     inputs=inputs,
     outputs=outputs,
     title="MAZINGIRA 254: Climate-Smart Environmental Psychology Design Ideas",
-    description="Input your environmental concerns and ideas in form of images and personal experiences to receive creative design recommendations and a visual assessment of climate change impact. ",
+    description=f"Input your environmental concerns and ideas in the form of images and personal experiences to receive creative design recommendations and a visual assessment of climate change impact.\n\n{disclaimer_text}",
     css=custom_css  # Apply custom CSS
 ).launch()