Delete gradio_app.py

gradio_app.py

@@ -1,47 +0,0 @@
-import gradio as gr
-import requests
-
-def index_gradio(file, ds):
-    """Upload PDFs and get embeddings."""
-    url = "http://localhost:8082/index"
-    files = [("files", (f.name, f.file)) for f in file]
-    response = requests.post(url, files=files)
-    result = response.json()
-    return result['message'], ds, []
-
-def search_gradio(query: str, ds, images, k):
-    """Send a search query and get results."""
-    url = "http://localhost:8082/search"
-    payload = {'query': query, 'k': k}
-    response = requests.post(url, json=payload)
-    result = response.json()
-    results = result['results']
-    return results
-
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# ColPali: Efficient Document Retrieval with Vision Language Models 📚")
-
-    with gr.Row():
-        with gr.Column(scale=2):
-            gr.Markdown("## 1️⃣ Upload PDFs")
-            file = gr.File(file_types=["pdf"], file_count="multiple", label="Upload PDFs")
-
-            convert_button = gr.Button("🔄 Index documents")
-            message = gr.Textbox("Files not yet uploaded", label="Status")
-            embeds = gr.State(value=[])
-            imgs = gr.State(value=[])
-
-        with gr.Column(scale=3):
-            gr.Markdown("## 2️⃣ Search")
-            query = gr.Textbox(placeholder="Enter your query here", label="Query")
-            k = gr.Slider(minimum=1, maximum=10, step=1, label="Number of results", value=1)
-
-    # Define the actions
-    search_button = gr.Button("🔍 Search", variant="primary")
-    output_gallery = gr.Gallery(label="Retrieved Documents", height=600, show_label=True)
-
-    convert_button.click(index_gradio, inputs=[file, embeds], outputs=[message, embeds, imgs])
-    search_button.click(search_gradio, inputs=[query, embeds, imgs, k], outputs=[output_gallery])
-
-if __name__ == "__main__":
-    demo.queue(max_size=10).launch(debug=True)