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README.md

@@ -1,12 +1,6 @@
 ---
 title: Testing
-emoji: 🐨
-colorFrom: indigo
-colorTo: pink
+app_file: app.py
 sdk: gradio
 sdk_version: 4.19.2
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from langchain.tools import AIPluginTool
+from langchain.utilities import WikipediaAPIWrapper
+from langchain.schema import (
+    AIMessage,
+    HumanMessage,
+    SystemMessage
+)
+from langchain.tools import MoveFileTool, format_tool_to_openai_function
+from langchain.tools import BaseTool, StructuredTool, Tool, tool
+from langchain.chat_models import ChatOpenAI
+from langchain.agents import AgentType, initialize_agent, load_tools
+from langchain import LLMMathChain, SerpAPIWrapper
+import gradio as gr
+import os
+import openai
+import gradio as gr
+from gradio import ChatInterface
+import time
+
+# Get the value of the openai_api_key from environment variable
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Import things that are needed generically from langchain
+
+
+def predict(inputs, chatbot):
+
+    messages = []
+    for conv in chatbot:
+        user = conv[0]
+        messages.append({"role": "user", "content": user})
+        assistant = conv[1]
+        messages.append({"role": "assistant", "content": assistant})
+    messages.append({"role": "user", "content": inputs})
+
+    # a ChatCompletion request
+    client = openai.OpenAI(
+        base_url="https://anybody-statewide-morrison-sizes.trycloudflare.com/", api_key="not-needed")
+    completion = client.chat.completions.create(
+            model="ttt",  # this field is currently unused
+            messages=messages,
+            temperature=0.7,
+            stream=True,
+        )
+    new_message = {"role": "assistant", "content": ""}
+
+    for chunk in completion:
+            if chunk.choices[0].delta.content:
+                print(chunk.choices[0].delta.content, end="", flush=True)
+                new_message["content"] += chunk.choices[0].delta.content
+                yield new_message
+
+    messages.append(new_message)
+
+
+interface = gr.ChatInterface(predict)
+with gr.Blocks() as demo:
+    gr.Markdown("""
+    # GPT 3.5 Discord Bot powered by gradio!
+    To use this space as a discord bot, first install the gradio_client
+    
+    ```bash
+    pip install gradio_client
+    ```
+    
+    Then run the following command
+    
+    ```python
+    client = grc.Client.duplicate("gradio-discord-bots/gpt-35-turbo", private=False, secrets={"OPENAI_API_KEY": "<your-key-here>"}, sleep_timeout=2880)
+    client.deploy_discord(api_names=["chat"])
+    """)
+    with gr.Row(visible=False):
+        interface.render()
+
+demo.queue(concurrency_count=100).launch()

requirements.txt

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+openai
+langchain