Update app.py

app.py

@@ -1,63 +1,47 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import os
+
+import requests
+
+url = os.getenv['MODEL_REPO_ID']
+username = os.getenv['USERNAME']
+password = os.getenv['PASSWORD']
+
+def predict(message, history, system_message):
+    url = url
+    payload = {
+        "message": message,
+        "system_message": system_message,
+        "history": history
+    }
+    headers = {
+        "Content-Type": "application/json"
+    }
+    
+    response = requests.post(url, json=payload, headers=headers)
+    
+    if response.status_code == 200:
+        return response.json()
+    else:
+        response.raise_for_status()
 
-"""
-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,
+    predict,
     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)",
-        ),
-    ],
+        gr.Textbox(value="你是Emi，正在和用户手机聊天", label="System message"),
+    ], 
+    examples=["我心情好差呜呜", 
+                "工作之余，你有什么爱好或兴趣吗？", 
+                "谁创造了你？", 
+                "请自我介绍一下", 
+                "对未来有什么打算吗?",
+                "Emi会弹钢琴吗",
+                "你能感觉到疼痛吗？",
+                "你觉得自己像AI吗？",
+                "你能全天候工作吗？",
+                "你有更新过吗？"]
 )
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(auth=(username, password))