FREE

README.md

@@ -1,12 +1,14 @@
 ---
-title: XM Chat Agent
-emoji: 🐢
-colorFrom: blue
+title: XM Chat Agent (Free Simple AI Chat)
+emoji: 💬
+colorFrom: yellow
 colorTo: purple
 sdk: gradio
-sdk_version: 5.33.0
+sdk_version: 5.0.1
 app_file: app.py
-pinned: false
+pinned: true
+license: apache-2.0
+short_description: XM FREE CHAT
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

@@ -0,0 +1,84 @@
+import gradio as gr
+#from huggingface_hub import InferenceClient
+import os
+import requests
+
+PROMPT_TEMPLATE = """You are a friendly Chatbot."""
+system_prompt=PROMPT_TEMPLATE
+
+specialtoken = os.getenv("SPECIALTOKEN")
+"""
+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
+"""
+
+
+
+
+#TODO remove max_tokens,temp,top_p to make it by default
+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})
+    
+    payload = {
+    "model": "openai",
+    "messages": messages,
+    #"response_format": { "type": "json_object" },
+    #"tools": tools,
+    #"tool_choice": "auto",
+    #"stream": True,
+    }
+
+    
+    resp = requests.post(
+    specialtoken,
+    json=payload,
+    headers={"Content-Type": "application/json"}
+    )
+
+    response_messages=resp.json()["choices"] #[0]["message"]["content"]
+    response = ""
+
+    
+    
+    for message in response_messages:
+        token = message["message"]["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()

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