Delete app (1).py

app (1).py

@@ -1,75 +0,0 @@
-import base64
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-# Free serverless models
-TEXT_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"   # strong at PHP / WordPress code
-VISION_MODEL = "Qwen/Qwen2.5-VL-72B-Instruct"     # can read screenshots
-
-client = InferenceClient()
-
-SYSTEM_PROMPT = (
-    "You are a senior WordPress plugin developer and web developer assistant. "
-    "You help write, debug, and explain PHP, WordPress plugin code (hooks, filters, "
-    "shortcodes, admin settings pages, Media Library integration), HTML, CSS, and "
-    "JavaScript. When shown a screenshot of a website, describe the layout/section "
-    "the user points to, then rebuild it as real HTML/CSS/PHP as closely as possible. "
-    "Give complete, working code. When code is long, deliver it in full, installable "
-    "form (ready to save as a .php file)."
-)
-
-def image_to_data_url(img_path):
-    with open(img_path, "rb") as f:
-        b64 = base64.b64encode(f.read()).decode("utf-8")
-    ext = img_path.split(".")[-1].lower()
-    mime = "jpeg" if ext in ("jpg", "jpeg") else ext
-    return f"data:image/{mime};base64,{b64}"
-
-def chat(message, history):
-    # message can be a dict with "text" and "files" when multimodal input is used
-    text = message.get("text", "") if isinstance(message, dict) else message
-    files = message.get("files", []) if isinstance(message, dict) else []
-
-    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
-    for turn in history:
-        if isinstance(turn, dict):
-            role = turn.get("role")
-            content = turn.get("content")
-            if role and content:
-                messages.append({"role": role, "content": content})
-
-    if files:
-        # Vision path: send image + text together to the VL model
-        content = [{"type": "text", "text": text or "What is in this screenshot? Rebuild the relevant section as code."}]
-        for f in files:
-            content.append({"type": "image_url", "image_url": {"url": image_to_data_url(f)}})
-        messages.append({"role": "user", "content": content})
-        model = VISION_MODEL
-    else:
-        messages.append({"role": "user", "content": text})
-        model = TEXT_MODEL
-
-    try:
-        response = client.chat_completion(
-            model=model,
-            messages=messages,
-            max_tokens=2048,
-            temperature=0.3,
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"⚠️ Error calling the model: {e}"
-
-demo = gr.ChatInterface(
-    fn=chat,
-    title="Free WordPress Dev Assistant (with screenshot support)",
-    description=(
-        "Free coding helper for WordPress plugins, PHP, HTML, and JS. "
-        "Attach a screenshot and ask it to rebuild that section as code. "
-        "Runs on Qwen2.5-Coder and Qwen2.5-VL via Hugging Face's free Inference API."
-    ),
-    multimodal=True,
-)
-
-if __name__ == "__main__":
-    demo.launch()