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README.md

@@ -1,13 +1,6 @@
----
-title: Gpt
-emoji: 📚
-colorFrom: purple
-colorTo: red
-sdk: streamlit
-sdk_version: 1.15.2
-app_file: app.py
-pinned: false
-license: agpl-3.0
----
+# Welcome to Streamlit!
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Edit `/streamlit_app.py` to customize this app to your heart's desire. :heart:
+
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).

app.py

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+import os
+import openai
+import gradio as gr
+
+#openai.api_key = "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"
+#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

requirements.txt

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+altair
+pandas
+streamlit
+openai
+gradio