new add

app.py

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+import streamlit as st
+from new import chat_with_chatseo
+import pandas as pd
+
+st.set_page_config(layout="wide")
+
+i, j = st.columns(2)
+#set title
+with i:
+    st.title("Chat with ChatSEO")
+
+
+    #create 3 input boxes for the 3 input variables
+    issue = st.text_input("Issue")
+    description = st.text_input("Description")
+    url = st.text_input("URL")
+
+    #create button and on press, run the chain
+    if st.button("Run"):
+        #run the chain
+        output = chat_with_chatseo(issue, description, url).content
+        #display the output
+        st.write(output)
+
+with j:
+
+    st.write("## Upload a csv file")
+
+    # Upload a csv file using streamlit and show the data
+    uploaded_file = st.file_uploader("Choose a CSV file")
+    if uploaded_file is not None:
+        df = pd.read_csv(uploaded_file)
+        result_df = df[df["Issue Priority"] == "High"].drop(["URLs", "% of Total", "How To Fix"], axis=1)
+        st.write(result_df)
+        for index, row in result_df.iterrows():
+            with st.expander(row["Issue Name"]):
+                st.write(row["Description"])
+                if st.button("Fix Issue", key=index):
+                    output = chat_with_chatseo(row["Issue Name"], row["Description"], "https://www.upthrust.io").content
+                    st.write(output)

new.py

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+from langchain.chat_models import ChatOpenAI
+import streamlit as st
+def chatseo():
+
+    from langchain import PromptTemplate
+    from langchain.prompts.chat import (
+        ChatPromptTemplate,
+        SystemMessagePromptTemplate,
+        AIMessagePromptTemplate,
+        HumanMessagePromptTemplate,
+    )
+
+    template="You are an SEO Analyser.\nYou will be given an issue dealt with SEO, and its description.\nFor a given url, you need to create a 5 step plan to fix that issue.\nRemember to give examples as well for each step. Include some necessary code to fix that issue like ```some code```."
+    system_message_prompt = SystemMessagePromptTemplate.from_template(template)
+    human_template="Issue: {issue}\nDescription: {description}\nURL: {url}"
+    human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
+
+    chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
+    return chat_prompt
+
+# get a chat completion from the formatted messages
+chat_prompt = chatseo()
+def chat_with_chatseo(issue, description, url, chat_prompt = chat_prompt):
+        chat = ChatOpenAI(openai_api_key=st.secrets["openai_api_key"])
+        return chat(chat_prompt.format_prompt(issue=issue, description=description, url=url).to_messages())

requirements.txt

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+aiohttp==3.8.4
+aiosignal==1.3.1
+altair==5.0.1
+async-timeout==4.0.2
+attrs==23.1.0
+blinker==1.6.2
+cachetools==5.3.1
+certifi==2023.5.7
+charset-normalizer==3.1.0
+click==8.1.3
+dataclasses-json==0.5.8
+decorator==5.1.1
+frozenlist==1.3.3
+gitdb==4.0.10
+GitPython==3.1.31
+idna==3.4
+importlib-metadata==6.7.0
+Jinja2==3.1.2
+jsonschema==4.17.3
+langchain==0.0.205
+langchainplus-sdk==0.0.11
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+marshmallow==3.19.0
+marshmallow-enum==1.5.1
+mdurl==0.1.2
+multidict==6.0.4
+mypy-extensions==1.0.0
+numexpr==2.8.4
+numpy==1.25.0
+openai==0.27.8
+openapi-schema-pydantic==1.2.4
+packaging==23.1
+pandas==2.0.2
+Pillow==9.5.0
+protobuf==4.23.3
+pyarrow==12.0.1
+pydantic==1.10.9
+pydeck==0.8.1b0
+Pygments==2.15.1
+Pympler==1.0.1
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+PyYAML==6.0
+requests==2.31.0
+rich==13.4.2
+six==1.16.0
+smmap==5.0.0
+SQLAlchemy==2.0.16
+streamlit==1.23.1
+tenacity==8.2.2
+toml==0.10.2
+toolz==0.12.0
+tornado==6.3.2
+tqdm==4.65.0
+typing-inspect==0.9.0
+typing_extensions==4.6.3
+tzdata==2023.3
+tzlocal==4.3
+urllib3==2.0.3
+validators==0.20.0
+yarl==1.9.2
+zipp==3.15.0