add first application post generator

.gitignore

@@ -1 +1,3 @@
-openapi_key.txt
+openapi_key.txt
+
+*.pyc

applications/dataroots_recuitment.py

@@ -0,0 +1,22 @@
+import streamlit as st
+import langchain_helper as lch
+from dotenv import load_dotenv
+import os
+
+load_dotenv("openapi_key.txt")
+openai_api_key = os.getenv('OPENAI_API_KEY')
+
+st.title(":iphone: Dataroots Posts Generator")
+
+# Sidebar select box
+st.sidebar.title('Customize your post')
+social_network = st.sidebar.selectbox('Select Social Network:', ['Instagram', 'LinkedIn'])
+position = st.sidebar.selectbox('Select Position:', ['Machine Learning Engineer', 'Data Engineer', 'Data Strategy'])
+tone = st.sidebar.selectbox('Select Tone:', ['Formal', 'Informal'])
+max_words = st.sidebar.slider('Max Number of Words', min_value=100, max_value=1000, value=200)
+temperature = st.sidebar.slider('Model temperature', min_value=0.0, max_value=1.0, value=0.5, step=0.01)
+
+# Generate button
+if st.sidebar.button('Generate'):
+    response = lch.generate_post_dataroots(social_network, position, tone, max_words, temperature, openai_api_key)
+    st.text(response['generated_post'])

applications/langchain_helper.py

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+import streamlit as st
+from langchain.llms import OpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+
+
+
+def generate_post_dataroots(social_network, position, tone, max_words, temperature, openai_api_key):
+    llm = OpenAI(temperature=temperature, openai_api_key=openai_api_key)
+
+    my_prompt = PromptTemplate(
+    input_variables = ["social_network", "position", "tone", "max_words"],
+    input_types={
+        "social_network": str,
+        "position": str,
+        "tone": str,
+        "max_words": int
+        },
+    template = """
+    You are Dataroots assistant and you are here to help HR create new posts on {social_network} to recruite new people.
+    The post should be about looking for a {position}.
+    The tone must be {tone}.
+    The max number of words for the post should be {max_words}.
+    Be as captivating as possible and use emojis to convey the message.
+    """
+    )
+
+    recruitment_chain = LLMChain(llm=llm, prompt=my_prompt, output_key="generated_post")
+
+    response = recruitment_chain({
+        "social_network": social_network,
+        "position": position,
+        "tone": tone,
+        "max_words": max_words
+    })
+
+    return response
+
+if __name__ == "__main__":
+    print(generate_post_dataroots("Instagram", "Machine Learning Engineer", "informal", 200, 0))