Upload remote_clients.py

remote_clients.py

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+# remote_clients.py — clientes para Spaces remotos (Gradio/HTTP)
+from __future__ import annotations
+from typing import Any, Dict, List, Optional
+import os, json, requests
+from tenacity import retry, stop_after_attempt, wait_exponential
+
+try:
+    from gradio_client import Client as GradioClient
+except Exception:
+    GradioClient = None  # type: ignore
+
+class BaseRemoteClient:
+    def __init__(self, base_url: str, use_gradio: bool = True, hf_token: Optional[str] = None, timeout: int = 180):
+        self.base_url = base_url.rstrip("/")
+        self.use_gradio = use_gradio and GradioClient is not None
+        self.hf_token = hf_token or os.getenv("HF_TOKEN")
+        self.timeout = timeout
+        self._client = None
+        if self.use_gradio:
+            headers = {"Authorization": f"Bearer {self.hf_token}"} if self.hf_token else None
+            self._client = GradioClient(self.base_url, hf_token=self.hf_token, headers=headers)
+
+    @retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=1, max=8))
+    def _post_json(self, route: str, payload: Dict[str, Any]) -> Dict[str, Any]:
+        url = f"{self.base_url}{route}"
+        headers = {"Authorization": f"Bearer {self.hf_token}"} if self.hf_token else {}
+        r = requests.post(url, json=payload, headers=headers, timeout=self.timeout)
+        r.raise_for_status()
+        return r.json()
+
+class InstructClient(BaseRemoteClient):
+    def generate(self, prompt: str, system: Optional[str] = None, **kwargs) -> str:
+        if self.use_gradio and self._client:
+            out = self._client.predict(prompt, api_name="/predict")
+            return str(out)
+        data = {"prompt": prompt, "system": system, **kwargs}
+        res = self._post_json("/generate", data)
+        return res.get("text", "")
+
+class VisionClient(BaseRemoteClient):
+    def describe(self, image_paths: List[str], context: Optional[Dict[str, Any]] = None, **kwargs) -> List[str]:
+        if self.use_gradio and self._client:
+            out = self._client.predict(image_paths, json.dumps(context or {}), api_name="/predict")
+            if isinstance(out, str):
+                try:
+                    return json.loads(out)
+                except Exception:
+                    return [out]
+            return list(out)
+        data = {"images": image_paths, "context": context or {}, **kwargs}
+        res = self._post_json("/describe", data)
+        return res.get("descriptions", [])
+
+class ToolsClient(BaseRemoteClient):
+    def chat(self, messages: List[Dict[str, str]], tools: Optional[List[Dict[str, Any]]] = None, **kwargs) -> Dict[str, Any]:
+        if self.use_gradio and self._client:
+            out = self._client.predict(json.dumps(messages), json.dumps(tools or []), api_name="/predict")
+            if isinstance(out, str):
+                try:
+                    return json.loads(out)
+                except Exception:
+                    return {"text": out}
+            return out
+        data = {"messages": messages, "tools": tools or [], **kwargs}
+        return self._post_json("/chat", data)
+
+class ASRClient(BaseRemoteClient):
+    def transcribe(self, audio_path: str, **kwargs) -> Dict[str, Any]:
+        if self.use_gradio and self._client:
+            out = self._client.predict(audio_path, api_name="/predict")
+            if isinstance(out, str):
+                return {"text": out}
+            return out
+        files = {"file": open(audio_path, "rb")}
+        headers = {"Authorization": f"Bearer {self.hf_token}"} if self.hf_token else {}
+        r = requests.post(f"{self.base_url}/transcribe", files=files, data=kwargs, headers=headers, timeout=self.timeout)
+        r.raise_for_status()
+        return r.json()