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#first version. Be patient

README.md

@@ -1,13 +1,23 @@
 ---
-title: Messmerbox
-emoji: 👁
-colorFrom: purple
-colorTo: pink
+title: Chat-with-OpenAI-o1
+emoji: 🚀
+colorFrom: red
+colorTo: indigo
 sdk: gradio
 sdk_version: 4.44.0
 app_file: app.py
 pinned: false
 license: mit
+duplicated_from: ysharma/ChatGPT4
+disable_embedding: true
+datasets:
+- allenai/WildChat-1M
+- allenai/WildChat-1M-Full
+- allenai/WildChat
+models:
+- allenai/WildLlama-7b-user-assistant
+- allenai/WildLlama-7b-assistant-only
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+- https://arxiv.org/abs/2405.01470
+- https://arxiv.org/abs/2409.03753

app.py

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+import gradio as gr
+import os
+import requests
+import random
+
+# Variables de entorno necesarias
+API_URL = os.getenv("API_URL")
+OPENAI_API_KEYS = os.getenv("OPENAI_API_KEYS", "").split(',')
+NUM_THREADS = int(os.getenv("NUM_THREADS", "1"))
+
+# Verifica que las variables de entorno necesarias estén definidas
+if not API_URL or not OPENAI_API_KEYS:
+    raise ValueError("API_URL y OPENAI_API_KEYS deben estar definidas en el entorno.")
+
+# Función para manejar errores
+def exception_handler(exception_type, exception, traceback):
+    print(f"{exception_type.__name__}: {exception}")
+sys.excepthook = exception_handler
+sys.tracebacklimit = 0
+
+# Función que procesa bloques de código en Markdown para ser renderizado en HTML
+def parse_codeblock(text):
+    lines = text.split("\n")
+    for i, line in enumerate(lines):
+        if "```" in line:
+            if line != "```":
+                lines[i] = f'<pre><code class="{lines[i][3:]}">'
+            else:
+                lines[i] = '</code></pre>'
+        else:
+            if i > 0:
+                lines[i] = "<br/>" + line.replace("<", "&lt;").replace(">", "&gt;")
+    return "\n".join(lines)
+
+# Función principal que interactúa con el modelo o API externa
+def query_api(input_text):
+    headers = {"Authorization": f"Bearer {random.choice(OPENAI_API_KEYS)}"}
+    payload = {"input": input_text}
+    
+    try:
+        response = requests.post(API_URL, json=payload, headers=headers)
+        if response.status_code == 200:
+            return response.json().get("output", "No response from API.")
+        else:
+            return f"Error: {response.status_code} - {response.text}"
+    except Exception as e:
+        return f"Excepción en la consulta: {str(e)}"
+
+# Interfaz de Gradio
+def app_function(input_text):
+    # Llamada a la función que consulta la API
+    result = query_api(input_text)
+    return result
+
+# Definir la interfaz de Gradio
+interface = gr.Interface(fn=app_function, inputs="text", outputs="text", 
+                         title="Consulta a la API", 
+                         description="Introduce un texto para consultar la API.")
+
+# Ejecutar la interfaz en Hugging Face
+if __name__ == "__main__":
+    interface.launch()
+

requirements.txt

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+gradio
+requests
+