Upload 2 files

app.py

@@ -1,64 +1,36 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import requests
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
+import os
+HF_API_TOKEN = os.getenv("HF_API_TOKEN")
 
+API_URL = "https://api-inference.huggingface.co/models/EleutherAI/gpt-neo-1.3B"
+headers = {"Authorization": f"Bearer {HF_API_TOKEN}"}
 
+def accionar_ai(pregunta):
+    prompt = f"""
+Eres Accionar AI, un asistente para activistas y colectivos en América Latina. Ayudas a crear campañas sociales con enfoque en justicia, derechos humanos y género.
+Pregunta: {pregunta}
+Sugerencia:
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+    payload = {
+        "inputs": prompt,
+        "parameters": {"max_new_tokens": 150, "temperature": 0.7},
+    }
+    response = requests.post(API_URL, headers=headers, json=payload)
+    result = response.json()
+    if isinstance(result, list):
+        return result[0]["generated_text"].split("Sugerencia:")[-1].strip()
+    else:
+        return "Lo siento, hubo un error al generar la respuesta."
+
+# Interfaz Gradio
+demo = gr.Interface(
+    fn=accionar_ai,
+    inputs=gr.Textbox(lines=3, placeholder="Escribe tu pregunta o idea de campaña"),
+    outputs="text",
+    title="Accionar AI Commons (Demo real)",
+    description="Asistente conectado a modelo GPT-Neo desde Hugging Face",
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()

requirements.txt

@@ -1 +1,4 @@
-huggingface_hub==0.25.2
+gradio
+transformers
+requests
+