c

app.py

@@ -1,63 +1,38 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-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
-
-"""
-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)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+from hugchat import hugchat
+from hugchat.login import Login
+import getpass  # Asegúrate de importar esta biblioteca para obtener la contraseña (en caso no hayas ejecutado las primeras celdas)
+
+# Log in to huggingface and grant authorization to huggingchat
+email = input("Ingrese su correo electrónico: ")
+passwd = getpass.getpass("Ingrese su contraseña: ")
+
+sign = Login(email, passwd)
+cookies = sign.login()
+
+# Save cookies to the local directory
+cookie_path_dir = "./cookies_snapshot"
+sign.saveCookiesToDir(cookie_path_dir)
+
+# Create a ChatBot instance with cookies
+chatbot = hugchat.ChatBot(cookies=cookies.get_dict())
+
+def generate_response(prompt):
+    response = chatbot.chat(prompt)
+    return response
+
+def hugchat_app(prompt):
+    response = generate_response(prompt)
+
+    # Guarda la conversación en un archivo .txt
+    with open("conversacion.txt", "a") as file:
+        file.write("Usuario: " + prompt + "\n")
+        file.write("ChatBot: " + response + "\n\n")
+
+    return response
+
+iface = gr.Interface(fn=hugchat_app, inputs="text", outputs="text", title="🤗💬 ELISA I MODELO DE INTELIGENCIA ARTIFICIAL PROF: GERARDO", # Modificar como quieras
+                     description="Esta aplicación es un chatbot impulsado por LLM creado utilizando HugChat. 💡",
+                     article="Creado con 🖤 por                        AREA DE INFORMATICA COLEGIO VILLA ELISA IED",
+                     )
+iface.launch(share=True, debug=True) # Si el problema se soluciona cambiar share a True para compartir URL (probar en unos días)