Delete app.py

app.py

@@ -1,93 +0,0 @@
-# app.py
-# HuggingFace Space में चलाने के लिए
-# pip install gradio google-genai
-
-import mimetypes
-import time
-import random
-import gradio as gr
-from google import genai
-from google.genai import types
-from google.api_core.exceptions import ResourceExhausted
-
-# ✅ API key
-API_KEY = "AIzaSyC5lJFAJdqxym1OErvYL07grkdhVfUrRBM"
-client = genai.Client(api_key=API_KEY)
-
-
-def generate_image(prompt, retries=3):
-    model = "gemini-2.5-flash-image-preview"
-
-    contents = [
-        types.Content(
-            role="user",
-            parts=[types.Part.from_text(text=prompt)],
-        ),
-    ]
-
-    generate_content_config = types.GenerateContentConfig(
-        response_modalities=["IMAGE"],
-    )
-
-    file_index = 0
-    images = []
-
-    for attempt in range(retries):
-        try:
-            for chunk in client.models.generate_content_stream(
-                model=model,
-                contents=contents,
-                config=generate_content_config,
-            ):
-                if (
-                    chunk.candidates
-                    and chunk.candidates[0].content
-                    and chunk.candidates[0].content.parts
-                ):
-                    part = chunk.candidates[0].content.parts[0]
-                    if hasattr(part, "inline_data") and part.inline_data and part.inline_data.data:
-                        file_name = f"generated_{file_index}"
-                        file_index += 1
-                        inline_data = part.inline_data
-                        data_buffer = inline_data.data
-                        file_extension = mimetypes.guess_extension(inline_data.mime_type) or ".png"
-                        file_path = f"{file_name}{file_extension}"
-
-                        # Save image
-                        with open(file_path, "wb") as f:
-                            f.write(data_buffer)
-
-                        images.append(file_path)
-
-            return images if images else None
-
-        except ResourceExhausted as e:
-            # ⚠️ अगर quota exceed हुआ
-            error_msg = str(e)
-            if "RESOURCE_EXHAUSTED" in error_msg:
-                if "FreeTier" in error_msg:
-                    return [f"❌ Free quota खत्म हो गया है! कृपया 24 घंटे बाद फिर से कोशिश करें या Google Cloud Billing enable करें."]
-                else:
-                    wait_time = 30 + random.randint(0, 20)
-                    print(f"Quota hit, retrying in {wait_time} sec...")
-                    time.sleep(wait_time)
-            else:
-                return [f"⚠️ Error: {error_msg}"]
-
-        except Exception as e:
-            return [f"⚠️ Unknown Error: {str(e)}"]
-
-    return [f"❌ Retry limit खत्म हो गई, बाद में कोशिश करें."]
-
-
-# ✅ Gradio UI (बिना .style)
-demo = gr.Interface(
-    fn=generate_image,
-    inputs=gr.Textbox(label="Enter your prompt", placeholder="Describe the image you want..."),
-    outputs=gr.Gallery(label="Generated Images", show_label=True),
-    title="Gemini Image Generator",
-    description="Enter a text prompt and generate AI-powered images using Google Gemini."
-)
-
-if __name__ == "__main__":
-    demo.launch()