Upload app (1).py

app (1).py

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+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()