initial commit

app.py

@@ -0,0 +1,41 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+import os
+import openai
+import gradio as gr
+
+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(debug = True, share = True)
+

requirements.txt

@@ -0,0 +1,2 @@
+openai
+gradio