Update app.py

app.py

@@ -1,16 +1,25 @@
 import gradio as gr
+import io
+import random
+import time
+import json
 import base64
 import requests
 import os
+from mistralai import Mistral
 from PIL import Image
 from io import BytesIO
-from mistralai import Mistral
+from deep_translator import GoogleTranslator
+from datetime import datetime
 from theme import theme
 from fastapi import FastAPI
 
 app = FastAPI()
 
-
+API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo"
+API_TOKEN = os.getenv("HF_READ_TOKEN")
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
+timeout = 100
 
 api_key = os.getenv("MISTRAL_API_KEY")
 Mistralclient = Mistral(api_key=api_key)
@@ -71,30 +80,6 @@ def feifeichat(image):
         print(f"Error: {e}")
         return "Please upload a photo"
 
-
-with gr.Blocks(theme=theme, elem_id="app-container") as app:
-    gr.Markdown("Image To Flux Prompt")
-    with gr.Tab(label="Image To Prompt"):
-        with gr.Row():
-            with gr.Column():
-                input_img = gr.Image(label="Input Picture",height=320,type="filepath")
-                submit_btn = gr.Button(value="Submit", variant='primary')
-            with gr.Column():
-                output_text = gr.Textbox(label="Flux Prompt", show_copy_button = True)
-                clr_button =gr.Button("Clear",variant="primary", elem_id="clear_button")
-                clr_button.click(lambda: gr.Textbox(value=""), None, output_text)
-
-        submit_btn.click(feifeichat, [input_img], [output_text])
-
-# Project by Nymbo
-# Edited by DigiP-AI
-
-API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo"
-API_TOKEN = os.getenv("HF_READ_TOKEN")
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
-timeout = 100
-
-# Function to clear input and output
 def clear():
     return None 
 
@@ -163,7 +148,30 @@ footer{display:none !important}
     margin-left: auto;
     margin-right: auto;
 }
-"""
+"""        
+
+
+with gr.Blocks(theme=theme, elem_id="app-container") as app:
+    gr.Markdown("Image To Flux Prompt")
+    with gr.Tab(label="Image To Prompt"):
+        with gr.Row():
+            with gr.Column():
+                input_img = gr.Image(label="Input Picture",height=320,type="filepath")
+                submit_btn = gr.Button(value="Submit", variant='primary')
+            with gr.Column():
+                output_text = gr.Textbox(label="Flux Prompt", show_copy_button = True)
+                clr_button =gr.Button("Clear",variant="primary", elem_id="clear_button")
+                clr_button.click(lambda: gr.Textbox(value=""), None, output_text)
+
+        submit_btn.click(feifeichat, [input_img], [output_text])
+
+# Project by Nymbo
+# Edited by DigiP-AI
+
+
+
+# Function to clear input and output
+
 
 # Build the Gradio UI with Blocks
 with gr.Blocks(theme=theme, css=css) as app:
@@ -217,22 +225,7 @@ with gr.Blocks(theme=theme, css=css) as app:
                 # Bind the button to the query function with the added width and height inputs
                 text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
 
-        
-        with gr.TabItem("Tips", visible=True):
-            with gr.Row():
-                    gr.Markdown(
-            """
-            <div style="max-width: 650px; margin: 2rem auto; padding: 1rem; border-radius: 10px; background-color: #f0f0f0;">
-                <h2 style="font-size: 1.5rem; margin-bottom: 1rem;">How to Use</h2>
-                <ol style="padding-left: 1.5rem;">
-                    <li>Enter a detailed description of the image you want to create.</li>
-                    <li>Adjust advanced settings if desired (tap to expand).</li>
-                    <li>Tap "Generate Image" and wait for your creation!</li>
-                </ol>
-                <p style="margin-top: 1rem; font-style: italic;">Tip: Be specific in your description for best results!</p>
-            </div>
-            """
-            )        
+     
 
         
 if __name__ == "__main__":