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app.py

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+import os
+import gradio as gr
+from gradio_client import Client
+
+read_key = os.environ.get('HF_TOKEN', None)
+
+print("gradio version:", gr.__version__)
+
+client = Client("anish-hf-a/ml-test")
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+
+    result = client.predict(
+    		message=message,
+    		api_name="/chat"
+    )
+    print(result)
+    yield result
+
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+demo = gr.ChatInterface(
+    respond,
+)
+
+demo.launch()

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