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Update app.py
Browse files
app.py
CHANGED
@@ -202,9 +202,9 @@ def gradio_app(message, location, health_query, submit_button, history, state):
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return history, "", "", "", "", gr.DataFrame([], headers=["Title", "Subject", "Link"]), state
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# Gradio UI components
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message_input = gr.Textbox(lines=1, label="Message")
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location_input = gr.Textbox(value="Honolulu, HI", label="Current Location")
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health_query_input = gr.Textbox(value="doctor", label="Health Professional Query (e.g., doctor,
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submit_button = gr.Button("Submit")
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# Updated chat history component with 'messages' type
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@@ -217,6 +217,72 @@ route_info_output = gr.Textbox(label="Health Professionals Information")
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map_output = gr.HTML(label="Map with Health Professionals")
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suggestions_output = gr.DataFrame(label="Well-Being Suggestions", headers=["Title", "Subject", "Link"])
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# Create Gradio interface
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iface = gr.Interface(
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fn=gradio_app,
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@@ -224,7 +290,8 @@ iface = gr.Interface(
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outputs=[chat_history, sentiment_output, emotion_output, route_info_output, map_output, suggestions_output, gr.State()],
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allow_flagging="never",
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live=False,
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title="Well-Being App: Support, Sentiment, Emotion Detection & Health Professional Search"
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)
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# Launch the Gradio interface
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return history, "", "", "", "", gr.DataFrame([], headers=["Title", "Subject", "Link"]), state
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# Gradio UI components
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message_input = gr.Textbox(lines=1, label="Message", placeholder="Type your message here...")
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location_input = gr.Textbox(value="Honolulu, HI", label="Current Location", placeholder="Enter your current location...")
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health_query_input = gr.Textbox(value="doctor", label="Health Professional Query (e.g., doctor, health professional, well-being professional", placeholder="Search for health professionals...")
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submit_button = gr.Button("Submit")
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# Updated chat history component with 'messages' type
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map_output = gr.HTML(label="Map with Health Professionals")
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suggestions_output = gr.DataFrame(label="Well-Being Suggestions", headers=["Title", "Subject", "Link"])
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# Custom CSS for styling
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custom_css = """
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<style>
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body {
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background-color: #f0f8ff;
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color: #333;
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font-family: Arial, sans-serif;
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}
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h1, h2, h3, h4, h5, h6 {
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color: #0056b3;
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}
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.gradio-app {
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max-width: 800px;
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margin: 0 auto;
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padding: 20px;
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background-color: #fff;
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border-radius: 10px;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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}
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.gradio-input, .gradio-output {
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margin-bottom: 15px;
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}
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.gradio-button {
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background-color: #0056b3;
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color: #fff;
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border: none;
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padding: 10px 20px;
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border-radius: 5px;
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cursor: pointer;
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}
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.gradio-button:hover {
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background-color: #004080;
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}
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.gradio-dataframe {
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border: 1px solid #ddd;
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border-radius: 5px;
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overflow: hidden;
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}
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.gradio-dataframe th, .gradio-dataframe td {
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padding: 10px;
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text-align: left;
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}
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.gradio-dataframe th {
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background-color: #0056b3;
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color: #fff;
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}
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.gradio-dataframe a {
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color: #0056b3;
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text-decoration: none;
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}
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.gradio-dataframe a:hover {
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text-decoration: underline;
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}
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</style>
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"""
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# Create Gradio interface
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iface = gr.Interface(
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fn=gradio_app,
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outputs=[chat_history, sentiment_output, emotion_output, route_info_output, map_output, suggestions_output, gr.State()],
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allow_flagging="never",
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live=False,
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title="Well-Being App: Support, Sentiment, Emotion Detection & Health Professional Search",
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css=custom_css
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)
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# Launch the Gradio interface
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