Delete gradio_app.py

gradio_app.py

@@ -1,180 +0,0 @@
-# import gradio as gr
-# import httpx
-# import json
-# from typing import Tuple, Any
-
-# # Define the FastAPI endpoint URL
-# FASTAPI_ENDPOINT = "http://localhost:8000/websearch"
-
-
-# def query_api(query: str) -> Tuple[Any, Any]:
-#     try:
-#         # Send POST request to FastAPI endpoint with streaming enabled
-#         with httpx.Client() as client:
-#             with client.stream("POST", FASTAPI_ENDPOINT, json={"query": query}, timeout=60.0) as response:
-#                 response.raise_for_status()  # Raise an exception for 4xx or 5xx status codes
-                
-#                 # Process the streaming response
-#                 response_data = ""
-#                 for chunk in response.iter_text():
-#                     response_data += chunk
-                
-#                 # Parse the accumulated response data as JSON
-#                 response_json = json.loads(response_data)
-                
-#                 # Extract content and citations from the response JSON
-#                 content = response_json.get("content", "")
-#                 citations = response_json.get("citations", [])
-                
-#                 # Beautify content using Markdown formatting
-#                 beautified_content = f"# Search Results\n\n{content}"
-                
-#                 # Beautify citations by adding Markdown links
-#                 beautified_citations = "# Citations\n\n"
-#                 for i, citation in enumerate(citations, start=1):
-#                     beautified_citations += f"{i}. [{citation}]({citation})\n"
-                
-#                 # Yield the beautified content and citations
-#                 yield beautified_content, beautified_citations
-#     except httpx.TimeoutException:
-#         yield "Request timed out. Please try again later.", ""
-#     except httpx.HTTPStatusError as e:
-#         yield f"HTTP error occurred: {e}", ""
-#     except Exception as e:
-#         yield f"An error occurred: {e}", ""
-
-
-# # Create Gradio interface
-# with gr.Blocks(css=".gradio-container { background-color: #f5f5f5; padding: 20px; border-radius: 10px; }") as demo:
-#     gr.Markdown("# Web Search Application")
-    
-#     with gr.Row():
-#         with gr.Column():
-#             query = gr.Textbox(
-#                 label="Enter your query",
-#                 placeholder="Type your search query here...",
-#                 lines=2,
-#                 max_lines=4,
-#                 value="",
-#                 elem_id="query-input"
-#             )
-#             submit_button = gr.Button("Search")
-        
-#         with gr.Column():
-#             output_content = gr.Textbox(
-#                 label="Response Content",
-#                 placeholder="Search results will appear here...",
-#                 lines=10,
-#                 max_lines=20,
-#                 value="",
-#                 elem_id="response-content"
-#             )
-#             output_citations = gr.Textbox(
-#                 label="Citations",
-#                 placeholder="Citations will appear here...",
-#                 lines=5,
-#                 max_lines=10,
-#                 value="",
-#                 elem_id="response-citations"
-#             )
-    
-#     # Set up event listener
-#     submit_button.click(query_api, inputs=query, outputs=[output_content, output_citations])
-    
-#     gr.Markdown("Powered by FastAPI and Gradio")
-
-# # Launch the Gradio application
-# demo.launch()
-
-
-import gradio as gr
-import httpx
-import json
-
-# Define the FastAPI endpoint URL
-FASTAPI_ENDPOINT = "http://localhost:8000/websearch"
-
-def query_api(query: str) -> tuple:
-    try:
-        # Send POST request to FastAPI endpoint with streaming enabled
-        with httpx.Client() as client:
-            with client.stream("POST", FASTAPI_ENDPOINT, json={"query": query}, timeout=60.0) as response:
-                response.raise_for_status()  # Raise an exception for 4xx or 5xx status codes
-                
-                # Process the streaming response
-                response_data = ""
-                for chunk in response.iter_text():
-                    response_data += chunk
-                
-                # Parse the accumulated response data as JSON
-                response_json = json.loads(response_data)
-                
-                # Extract content and citations from the response JSON
-                content = response_json.get("content", "")
-                citations = response_json.get("citations", [])
-                
-                # Beautify content using Markdown formatting
-                beautified_content = f"# Search Results\n\n{content}"
-                
-                # Beautify citations by adding Markdown links
-                beautified_citations = "# Citations/Sources\n\n"
-                for i, citation in enumerate(citations, start=1):
-                    beautified_citations += f"{i}. [{citation}]({citation})\n"
-                
-                # Yield the beautified content and citations
-                yield beautified_content, beautified_citations
-    except httpx.TimeoutException:
-        yield "# Request Timeout\n\nRequest timed out. Please try again later.", ""
-    except httpx.HTTPStatusError as e:
-        yield f"# HTTP Error\n\nHTTP error occurred: {e}", ""
-    except Exception as e:
-        yield f"# Error\n\nAn error occurred: {e}", ""
-
-# Create Gradio interface
-with gr.Blocks(css=".gradio-container { background-color: #f5f5f5; padding: 20px; border-radius: 10px; }", theme=gr.themes.Citrus()) as demo:
-    gr.Markdown("# Web Search Application")
-    
-    with gr.Row():
-        with gr.Column(
-            render=True,
-            show_progress=True
-        ):
-            query = gr.Textbox(
-                label="Enter your query",
-                placeholder="Type your search query here...",
-                lines=2,
-                max_lines=4,
-                value="",
-                elem_id="query-input"
-            )
-            submit_button = gr.Button("Search")
-        
-        with gr.Column(
-            render=True,
-            show_progress=True
-        ):
-            output_content = gr.Markdown(
-                label="Response Content",
-                value="",
-                elem_id="response-content",
-                height="600px",
-                visible=True,
-                show_label=True
-                
-            )
-            output_citations = gr.Markdown(
-                label="Citations",
-                value="",
-                elem_id="response-citations",
-                height="200px",
-                visible=True,
-                show_label=True
-            )
-    
-    # Set up event listener
-    submit_button.click(query_api, inputs=query, outputs=[output_content, output_citations])
-    
-    gr.Markdown("Powered by FastAPI and Gradio")
-
-# Launch the Gradio application
-demo.launch()