Add application file

.gitignore

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+env
+.env

.vscode/settings.json

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+{
+    "python.formatting.provider": "black"
+}

Makefile

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+push:
+	git add .
+	git commit -m "🙈"
+	git push
+
+
+install: ## [DEVELOPMENT] Install the API dependencies
+	virtualenv env; \
+	source env/bin/activate; \
+	pip install -r requirements.txt; \
+	pip install -r requirements-test.txt
+	@echo "Done, run '\033[0;31msource env/bin/activate\033[0m' to activate the virtual environment"
+
+run: ## [DEVELOPMENT] Run the streamlit app
+	streamlit run app.py

app.py

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+import typing
+import streamlit as st
+import dotenv
+
+dotenv.load_dotenv()
+import openai
+import os
+import streamlit.components.v1 as components
+from urllib.parse import quote
+import requests
+from tenacity import retry
+from tenacity.wait import wait_exponential
+from tenacity.before import before_log
+from tenacity.after import after_log
+from tenacity.stop import stop_after_attempt
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+
+@retry(
+    wait=wait_exponential(multiplier=1, min=1, max=3),
+    stop=stop_after_attempt(3),
+)
+def query_lexica(
+    inp: str
+) -> typing.List[dict]:
+    """
+    """
+    url_encoded_user_input = quote(inp)
+    response = requests.get(
+        f"https://lexica.art/api/v1/search?q={url_encoded_user_input}&"
+    )
+    json_response = response.json()
+    return json_response
+
+history = []
+
+
+def chat(user_input: str) -> str:
+    history.append({"role": "user", "content": user_input})
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {
+                "role": "system",
+                "content": "You are a helpful assistant that consummed LSD"
+                + " and thus experience multimodal hallucinations."
+                + " Your messages are accompanied by images generated by Stable Diffusion"
+                + " and helps the user understand the message better.",
+            },
+            *[
+                {
+                    "role": "assistant",
+                    "content": h["content"],
+                }
+                for h in history[-5:]
+            ],
+            {"role": "user", "content": user_input},
+        ],
+    )
+    message = response.choices[0]["message"]
+    history.append(message)
+    return message["content"]
+
+# eg not local dev
+if not os.getenv("OPENAI_API_KEY"):
+    openai_key = st.text_input("Your OpenAI key")
+    openai.api_key = openai_key
+user_input = st.text_input("You", "How can I reach maximum happiness this year?")
+# button
+if st.button("Send"):
+    # display clone response
+    lsdpt_response = chat(user_input)
+    lexica_response = query_lexica(user_input)
+    st.markdown(
+        f"""
+        LSD-PT
+        """
+    )
+    st.markdown(
+        f"""
+        ![{lexica_response['images'][0]['prompt']}]({lexica_response['images'][0]['src']})
+        """
+    )
+    st.write(lsdpt_response)
+    st.markdown(
+        f"""
+        ![{lexica_response['images'][1]['prompt']}]({lexica_response['images'][1]['src']})
+        """
+    )
+
+components.html(
+    """
+<script>
+const doc = window.parent.document;
+buttons = Array.from(doc.querySelectorAll('button[kind=primary]'));
+const send = buttons.find(el => el.innerText === 'Send');
+doc.addEventListener('keydown', function(e) {
+    switch (e.keyCode) {
+        case 13:
+            send.click();
+            break;
+    }
+});
+</script>
+""",
+    height=0,
+    width=0,
+)
+
+
+st.markdown(
+    """
+    TODO
+    """
+)
+
+
+# add a reference to the source code at https://github.com/louis030195/paul-graham-clone
+st.markdown(
+    """
+    [Source code](https://github.com/louis030195/krishnamurti-clone)
+    """
+)
+
+# reference to gpt-index
+st.markdown(
+    """
+    Built with ❤️ by [louis030195](https://louis030195.com) using the amazing [GPT-Index](https://github.com/jerryjliu/gpt_i
+ndex) library
+    """
+)

requirements-test.txt

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+black
+mypy
+pylint
+pytest-cov
+pytest-xdist
+pytest
+ipykernel
+ipywidgets
+httpx
+trio
+pytest-asyncio
+watchdog
+python-dotenv

requirements.txt

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+streamlit
+openai
+tenacity