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Create app.py
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app.py
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import os
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import re
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import json
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import asyncio
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import tempfile
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import gradio as gr
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from telethon import TelegramClient
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from dotenv import load_dotenv
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# ================== LOAD ENV ==================
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load_dotenv()
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# ================== CONFIG ==================
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BOT_USERNAME = "mealschatbot"
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api_id = int(os.getenv("TG_API_ID"))
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api_hash = os.getenv("TG_API_HASH")
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phone_number = os.getenv("TG_PHONE")
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# ================== PARSER ==================
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def parse_food_message(text: str):
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if "Calories" not in text:
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return None
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data = {}
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# Item name
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name_match = re.search(r"You added:\s*\*\*(.+?)\*\*", text)
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if name_match:
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data["item"] = name_match.group(1).strip()
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# Calories
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cal_match = re.search(
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r"\*\*Calories\*\*\s*\n+\s*(\d+)\s*kcal",
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text,
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re.IGNORECASE,
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)
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if cal_match:
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data["calories_kcal"] = int(cal_match.group(1))
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# Macros
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macros = {}
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for key, pattern in {
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"protein_g": r"Protein:\s*(\d+)g",
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"carbs_g": r"Carbs:\s*(\d+)g",
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"fat_g": r"Fat:\s*(\d+)g",
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}.items():
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m = re.search(pattern, text)
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if m:
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macros[key] = int(m.group(1))
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if macros:
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data["macros"] = macros
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# Ingredients
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ingredients = []
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block = re.search(
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r"\*\*Likely Ingredients\*\*\s*\n+([\s\S]+?)(?:📊|$)",
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text,
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)
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if block:
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for line in block.group(1).splitlines():
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line = line.strip("• ").strip()
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if not line:
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continue
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m = re.match(r"(.+?)\s*\((\d+)g,\s*(\d+)kcal\)", line)
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if m:
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ingredients.append({
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"name": m.group(1),
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"quantity_g": int(m.group(2)),
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"calories_kcal": int(m.group(3)),
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})
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if ingredients:
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data["likely_ingredients"] = ingredients
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return data
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# ================== TELEGRAM HANDLER ==================
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async def analyze_image(image_path: str):
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async with TelegramClient("session", api_id, api_hash) as client:
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await client.start(phone=phone_number)
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bot = await client.get_entity(BOT_USERNAME)
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history = await client.get_messages(bot, limit=1)
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last_id_before = history[0].id if history else 0
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await client.send_file(bot, image_path)
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await asyncio.sleep(8)
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replies = await client.get_messages(
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bot,
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min_id=last_id_before,
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limit=10,
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)
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for msg in reversed(replies):
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if msg.text:
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parsed = parse_food_message(msg.text)
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if parsed:
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return parsed
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return {"error": "No food data detected"}
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# ================== GRADIO WRAPPER ==================
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def gradio_handler(image):
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f:
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image.save(f.name)
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result = asyncio.run(analyze_image(f.name))
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return json.dumps(result, indent=2)
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# ================== UI ==================
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with gr.Blocks(title="Meal Image → Nutrition JSON") as demo:
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gr.Markdown("## 🍽️ Meal Image → Nutrition JSON")
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gr.Markdown("Upload a food image. Output will be **pure JSON only**.")
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image_input = gr.Image(type="pil", label="Upload Food Image")
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json_output = gr.Code(label="Parsed JSON", language="json")
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analyze_btn = gr.Button("Analyze")
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analyze_btn.click(
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fn=gradio_handler,
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inputs=image_input,
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outputs=json_output,
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)
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demo.launch()
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