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import gradio as gr
import os
from components import pubmed_search
from components import model_utils
import time
# ---------------------------- Configuration ----------------------------
ENTREZ_EMAIL = os.environ.get("ENTREZ_EMAIL", "ENTREZ_EMAIL")
HUGGINGFACE_API_TOKEN = os.environ.get("HUGGINGFACE_API_TOKEN", "HUGGINGFACE_API_TOKEN")
# ---------------------------- Global Variables ----------------------------
# ---------------------------- Gradio Interface ----------------------------
def launch_gradio():
"""Launches the Gradio interface."""
css = """
.article {
border: 1px solid #ddd;
margin-bottom: 10px;
padding: 10px;
border-radius: 5px;
}
.article.error {
border-color: #f00;
}
.article-id {
font-size: 1.2em;
margin-bottom: 5px;
}
.abstract {
font-style: italic;
}
.error-message {
color: #f00;
}
"""
with gr.Blocks(css=css) as iface:
gr.Markdown("# MedAI: Medical Literature Review")
gr.Markdown("Enter a medical query to retrieve abstracts from PubMed.")
query_input = gr.Textbox(lines=3, placeholder="Enter your medical query (e.g., 'new treatments for diabetes')...")
submit_button = gr.Button("Submit")
output_results = gr.HTML() # Use HTML for formatted output
# Get data
submit_button.click(pubmed_search.medai_agent, inputs=query_input, outputs=output_results)
iface.launch()
# ---------------------------- Main Execution ----------------------------
if __name__ == "__main__":
launch_gradio() |