Update app.py

Bumping uglies

app.py

@@ -1,64 +1,21 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+import gradio as gr import requests import json
 
-"""
-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")
+Function to query Hugging Face API
 
+def query_huggingface_api(prompt, api_url, api_key): headers = {"Authorization": f"Bearer {api_key}"} payload = {"inputs": prompt} response = requests.post(api_url, headers=headers, json=payload)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+if response.status_code == 200:
+    return response.json()[0]['generated_text']
+else:
+    return f"Error: API request failed with status code {response.status_code}"
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+Define the Gradio interface
 
-    messages.append({"role": "user", "content": message})
+def chat_with_model(user_input): API_URL = "https://api-inference.huggingface.co/models/YOUR_MODEL_NAME" API_KEY = "YOUR_HF_API_KEY" return query_huggingface_api(user_input, API_URL, API_KEY)
 
-    response = ""
+iface = gr.Interface(fn=chat_with_model, inputs="text", outputs="text", title="ChatDev AI")
 
-    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
+Launch the Gradio app
 
-        response += token
-        yield response
+if name == "main": iface.launch()
 
-
-"""
-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()