Duplicate from abhijitguha/chatbot_gpt3

Co-authored-by: Abhijit Guha <abhijitguha@users.noreply.huggingface.co>

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README.md

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+---
+title: Chatbot Gpt3
+emoji: 🦀
+colorFrom: red
+colorTo: purple
+sdk: gradio
+sdk_version: 3.12.0
+app_file: app.py
+pinned: false
+duplicated_from: abhijitguha/chatbot_gpt3
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+import os
+import openai
+import gradio as gr
+
+#openai.api_key = "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"
+openai.api_key = "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"
+start_sequence = "\nAI:"
+restart_sequence = "\nHuman: "
+
+def predict(input,initial_prompt, history=[]):
+
+    s = list(sum(history, ()))
+    s.append(input)
+#     initial_prompt="The following is a conversation with an AI movie recommendation assistant. The assistant is helpful, creative, clever, and very friendly.Along with movie recommendation it also talks about general topics"
+#     \n\nHuman: Hello, who are you?\nAI: I am an AI created by OpenAI. How can I help you today?\nHuman: "
+    response = openai.Completion.create(
+    model="text-davinci-003",
+    prompt= initial_prompt + "\n" + str(s), 
+    temperature=0.9,
+    max_tokens=150,
+    top_p=1,
+    frequency_penalty=0,
+    presence_penalty=0.6,
+    stop=[" Human:", " AI:"])
+    # tokenize the new input sentence
+    response2 = response["choices"][0]["text"]
+    history.append((input, response2))
+
+    return history, history
+
+
+gr.Interface(fn=predict,
+             inputs=["text","text",'state'],
+            
+             outputs=["chatbot",'state']).launch()
+

requirements.txt

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+openai
+gradio