Update app.py

app.py

@@ -1,18 +1,17 @@
 import gradio as gr
 import requests
-import json
-import datetime
 
-# Load credentials from secrets
-import os
+NEBIUS_API_KEY = "your_nebius_api_key"
+FOLDER_ID = "your_folder_id"
 
-NEBIUS_API_KEY = os.getenv("NEBIUS_API_KEY")
-FOLDER_ID = os.getenv("FOLDER_ID")
+def generate_recipe(dietary_pref, ingredients):
+    input_text = f"Create a recipe using these ingredients: {ingredients}. It should be {dietary_pref}."
+
+    headers = {
+        "Authorization": f"Api-Key {NEBIUS_API_KEY}",
+        "Content-Type": "application/json"
+    }
 
-headers = {
-    "Authorization": f"Bearer {NEBIUS_API_KEY.strip()}",
-    "Content-Type": "application/json"
-}
     body = {
         "folderId": FOLDER_ID,
         "texts": [input_text],
@@ -20,75 +19,36 @@ headers = {
         "temperature": 0.6,
         "maxTokens": "2000"
     }
-    res = requests.post("https://llm.api.cloud.yandex.net/foundationModels/v1/completion", headers=headers, json=body)
-    if res.status_code == 200:
-        return res.json()['result']['alternatives'][0]['message']['text']
-    else:
-        return f"Error: {res.status_code} - {res.text}"
-
-# === Recipe Planner Function ===
-def generate_recipe(diet, pantry):
-    prompt = f"You are a smart kitchen assistant. Suggest a detailed recipe for a {diet} user with ingredients from the pantry: {pantry}. Include cooking steps and nutritional info."
-    return ask_nebius(prompt)
-
-# === Weekly Meal Planner Function ===
-def weekly_meal_plan(diet):
-    prompt = f"Generate a full 7-day meal plan (Breakfast, Lunch, Dinner) for a {diet} diet. Include variety and healthy options."
-    return ask_nebius(prompt)
-
-# === PDF Download ===
-def download_text_as_pdf(text):
-    from fpdf import FPDF
-    pdf = FPDF()
-    pdf.add_page()
-    pdf.set_font("Arial", size=12)
-    for line in text.split('\n'):
-        pdf.cell(200, 10, txt=line, ln=True)
-    filename = f"meal_plan_{datetime.datetime.now().strftime('%Y%m%d%H%M%S')}.pdf"
-    pdf.output(filename)
-    return filename
 
-# === Gradio Interface ===
-with gr.Blocks(theme=gr.themes.Base(), title="AgentChef") as demo:
-    gr.Markdown("""
-    ## 🍳 AgentChef: AI Recipe Planner & Smart Kitchen Assistant
-    
-    Plan meals, check pantry items, generate weekly diet charts, and download PDFs — all with AI!
-    """)
+    try:
+        response = requests.post(
+            "https://llm.api.cloud.yandex.net/foundationModels/v1/textCompletion",
+            headers=headers,
+            json=body
+        )
+        result = response.json()
+        return result["result"]["alternatives"][0]["text"]
+    except Exception as e:
+        return f"❌ Error: {e}"
 
-    with gr.Row():
-        diet_input = gr.Dropdown(label="🍽️ Dietary Preferences", choices=["Vegetarian", "Vegan", "Keto", "Paleo", "Regular"], value="Vegetarian")
-        pantry_input = gr.Textbox(label="🌾 Pantry Items (comma-separated)", placeholder="e.g. tomato, rice, beans")
-
-    with gr.Row():
-        mic = gr.Audio(type="filepath", label="🎤 Speak Ingredients (Optional)")
-        transcript_output = gr.Textbox(label="Speech-to-text Result")
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("🍳 **AgentChef: AI Recipe Planner & Smart Kitchen Assistant**")
 
     with gr.Row():
-        generate_button = gr.Button("🍽 Generate Recipe")
-        meal_button = gr.Button("🍒 Weekly Meal Plan")
-
-    result = gr.Textbox(label="🌱 Output")
-    pdf_button = gr.Button("📄 Download as PDF")
-    file_output = gr.File(label="Download Link")
-
-    # === Callbacks ===
-    def transcribe_audio(audio_file):
-        import speech_recognition as sr
-        recognizer = sr.Recognizer()
-        with sr.AudioFile(audio_file) as source:
-            audio_data = recognizer.record(source)
-            return recognizer.recognize_google(audio_data)
+        dietary = gr.Dropdown(
+            label="Dietary Preferences",
+            choices=["Vegetarian", "Non-Vegetarian", "Vegan", "Keto", "Other"],
+            value="Vegetarian"
+        )
+        ingredients = gr.Textbox(
+            label="Ingredients Available",
+            placeholder="e.g., tomato, onion, garlic, paneer..."
+        )
 
-    mic.change(transcribe_audio, inputs=mic, outputs=transcript_output)
+    submit = gr.Button("🍽️ Generate Recipe")
 
-    def handle_generate(diet, pantry, spoken):
-        pantry_all = (spoken or '') + ", " + (pantry or '')
-        return generate_recipe(diet, pantry_all)
+    recipe_output = gr.Textbox(label="AI-Generated Recipe", lines=10)
 
-    generate_button.click(handle_generate, inputs=[diet_input, pantry_input, transcript_output], outputs=result)
-    meal_button.click(weekly_meal_plan, inputs=diet_input, outputs=result)
-    pdf_button.click(download_text_as_pdf, inputs=result, outputs=file_output)
+    submit.click(fn=generate_recipe, inputs=[dietary, ingredients], outputs=recipe_output)
 
-# === Launch ===
 demo.launch()