Spaces:
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Browse files
app.py
CHANGED
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import sqlite3
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import time
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from pathlib import Path
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from sqlite3.dbapi2 import Connection
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import gradio as gr
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import uvicorn
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from PIL import Image, ImageDraw, ImageFont
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@@ -21,7 +15,7 @@ def write_text_to_image(
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name_y: int = 410,
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distance_x: int = 435,
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distance_y: int = 450,
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)
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# Save the input data to the SQLite database
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cursor = conn.cursor()
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cursor.execute(
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draw = ImageDraw.Draw(image)
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# Set the font (adjust the font size and style)
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font = ImageFont.truetype("font/RobotoSlab-
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# Define text colors
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text_color = (0, 255, 0) # Green
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@@ -47,36 +41,11 @@ def write_text_to_image(
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# Write the distance on the image at the specified coordinates
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draw.text((distance_x, distance_y), f"{distance} km", font=font, fill=text_color)
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timestamp = int(time.perf_counter_ns())
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output_image_path = f"{static_dir}/{timestamp}.jpg"
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image.save(output_image_path)
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# Return the path to the generated image
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return output_image_path
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# Serve the app
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if __name__ == "__main__":
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# Create a FastAPI app
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app = FastAPI()
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# Allow CORS (optional, but recommended for Hugging Face Spaces)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Create a static directory to store the static files
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static_dir = Path("./static")
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static_dir.mkdir(parents=True, exist_ok=True)
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# Mount FastAPI StaticFiles server
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app.mount("/static", StaticFiles(directory=static_dir), name="static")
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# Connect to SQLite database
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conn = sqlite3.connect("user_input.db", check_same_thread=False)
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cursor = conn.cursor()
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# Event handler for the button click
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def on_submit(name, distance):
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image_path = write_text_to_image(name, distance, conn)
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submit_button = gr.Button(visible=False)
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return submit_button, image_path
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# Mount Gradio app to FastAPI app
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demo.show_api = False
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import sqlite3
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from sqlite3.dbapi2 import Connection
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import gradio as gr
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from PIL import Image, ImageDraw, ImageFont
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name_y: int = 410,
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distance_x: int = 435,
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distance_y: int = 450,
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):
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# Save the input data to the SQLite database
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cursor = conn.cursor()
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cursor.execute(
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draw = ImageDraw.Draw(image)
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# Set the font (adjust the font size and style)
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font = ImageFont.truetype("font/RobotoSlab-Medium.ttf", 25)
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# Define text colors
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text_color = (0, 255, 0) # Green
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# Write the distance on the image at the specified coordinates
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draw.text((distance_x, distance_y), f"{distance} km", font=font, fill=text_color)
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return image
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# Serve the app
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if __name__ == "__main__":
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# Connect to SQLite database
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conn = sqlite3.connect("user_input.db", check_same_thread=False)
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cursor = conn.cursor()
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# Event handler for the button click
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def on_submit(name, distance):
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image_path = write_text_to_image(name, distance, conn, static_dir="static")
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submit_button = gr.Button(visible=False)
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return submit_button, image_path
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# Mount Gradio app to FastAPI app
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demo.show_api = False
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demo.launch()
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